| title | excerpt | publishDate | category |
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The Best Computer Vision Books |
Explore the latest and most popular computer vision books in this roundup, featuring top titles that delve into the fascinating world of machine learning and computer vision applications. |
2024-05-18T09:53:09Z |
Welcome to our roundup of the best Computer Vision Books available in the market. Whether you're a novice in the field or an experienced professional, our carefully curated selection offers something for everyone. Explore these books to deepen your knowledge of Computer Vision and its applications, and discover valuable insights that you can apply in your own projects. Let's dive in!
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A Geometric Viewpoint
Embark on a captivating journey through the realm of Three-dimensional Computer Vision, as renowned vision researcher Olivier Faugeras takes us deep into a mathematical and geometric exploration of this fascinating field. This comprehensive monograph focuses on the problems and techniques surrounding three-dimensional (stereo) vision and motion, employing geometry to solve complex problems in computer vision.
Far from a dry textbook, Three-Dimensional Computer Vision invites readers to explore real-world applications of the theory, delving into navigation and object recognition. In doing so, Faugeras addresses essential topics such as projective geometry, camera calibration, edge detection, stereo vision, various representations and transformations—especially 3-D rotations, uncertainty, and object representation and recognition. Throughout his exploration, Faugeras presents the results of actual working programs, bridging the gap between theory and practice.
As we venture further into the book, we uncover the intriguing relationship between three-dimensional geometry and the imaging process. This dynamic relationship is eloquently showcased in the context of a specific robotics scenario in which a system must perceive, act, and adapt to an unknown environment. The innovative solutions proposed within these pages can be applied to a wide range of settings, transforming this book into a general guide to computer vision.
Three-Dimensional Computer Vision is a must-read for those interested in expanding their understanding of computer vision, and is sure to delight and inspire readers of all levels. With its extensive 712-page exploration of this captivating field, join Faugeras on an unforgettable journey into the world of three-dimensional geometry and its fascinating impact on imaging.
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Authors: Olivier Faugeras
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Publisher: MIT Press
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Published Date: March 30, 1993
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Page Count: 712
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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A Guide for Students and Practitioners,Concise Edition
Discover the world of computer vision with the concise edition of Computer Vision and Applications: A Guide for Students and Practitioners. Based on the highly acclaimed 3-volume reference, this single-volume guide offers a comprehensive overview of computer vision, from the imaging process to advanced algorithms and practical applications.
Divided into three distinct parts, this book provides a well-rounded understanding of computer vision. The first part serves as an introduction, exploring fundamental concepts and techniques. The second part delves into advanced algorithms and applications, showcasing real-world scenarios. Finally, the third and unique part offers an application gallery, offering practical examples of computer vision at work.
Bridging the gap between theory and practical applications, this guide covers modern concepts in computer vision and cutting-edge developments in imaging sensor technology. Its interdisciplinary approach, drawing from various scientific domains, sets it apart from other computer vision guides, making it an essential resource for students, practitioners, and researchers alike.
Get ready to expand your knowledge of computer vision with Computer Vision and Applications: A Guide for Students and Practitioners. This concise yet comprehensive reference will serve as a solid foundation for understanding this ever-evolving field.
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Authors: Bernd Jahne
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Publisher: Elsevier
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Published Date: May 24, 2000
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Page Count: 679
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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International Workshop on Vision Algorithms Corfu, Greece, September 21-22, 1999 Proceedings
Vision Algorithms: Theory and Practice is a comprehensive volume chronicling the International Workshop on Vision Algorithms held in Corfu, Greece in September 1999, with proceedings published in 2000. This 394-page book features 15 carefully selected and thoroughly reviewed full papers that span the entire spectrum of algorithms for geometric vision.
The authors and volume editors have gone beyond a mere collection of papers, providing added value to readers by offering insightful discussions and expert reviews. The book also includes two invited contributions, enhancing the quality and depth of the content. A panel discussion further enriches the volume, showcasing diverse perspectives and fostering dialogue within the field.
Penned by renowned authors Bill Triggs, Andrew Zisserman, and Richard Szeliski, Vision Algorithms: Theory and Practice offers an informative and engaging exploration into the world of vision algorithms. Its rigorous, peer-reviewed content and insightful discussions make it an essential resource for anyone interested in the theories and applications of geometric vision.
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Authors: Bill Triggs, Andrew Zisserman, Richard Szeliski
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Publisher: Springer Science & Business Media
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Published Date: September 06, 2000
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Page Count: 394
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Computer Vision is an essential textbook for advanced level courses in Computer Vision and Image Analysis, presenting the necessary theory and examples for students and professionals working in fields requiring automatic image analysis. This comprehensive guide covers multimedia, art and design, geographic information systems, and image databases, in addition to more traditional areas.
The authors, Linda G. Shapiro and George C. Stockman, bring together fundamental concepts and algorithms for analyzing images while discussing the evolving application areas of computer vision.
With 628 pages and written in English, this book is an invaluable resource for those seeking to understand and utilize computer vision in their work.
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Authors: Linda G. Shapiro, George C. Stockman
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Publisher: Pearson
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Published Date: March 30, 2001
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Page Count: 628
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Print Type: BOOK
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Categories: Computer vision
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Maturity Rating: NOT_MATURE
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Language: en
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"Computer Vision" functions as a comprehensive manual, delving into the most recent advancements in the industry while specifically focusing on utilizing robotics and innovative strategies for enhancing computer vision, including omnidirectional vision.
The text encompasses a multitude of subjects, such as the integration of RFID technology and stereo vision for positioning indoor mobile robots, alongside omnidirectional vision and robotics. This book also highlights key research findings in the field.
Comprehensive and engaging, this 550-page publication is ideal for individuals seeking an in-depth comprehension of computer vision and the role it plays within the realm of robotics. Authored by Zhihui Xiong and published by BoD, this essential resource is also an excellent read for researchers and educators.
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Authors: Zhihui Xiong
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Publisher: BoD – Books on Demand
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Published Date: November 01, 2008
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Page Count: 550
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Models, Learning, and Inference
"Computer Vision: Models, Learning, and Inference" is a captivating modern guide to understanding the intricacies of computer vision. Authored by the renowned computer scientist, Simon J. D. Prince, this publication sheds light on the fascinating world of machine vision and artificial perception. Cambridge University Press published this comprehensive book in June 2012.
Prince's book is a treasure trove for anyone who wishes to delve headfirst into the complexities of computer vision. It offers a meticulous but accessible approach to these intricate concepts, making it ideal for readers who are new to the field. To ensure comprehension, the author employs concise language and avoids unnecessary complexities.
The book is divided into well-structured chapters that systematically explore the subject matter. The real-world examples used in the book provide a practical perspective on the application of computer vision technology, aided by the implementable algorithms also shared within its pages.
"Computer Vision: Models, Learning, and Inference" by Simon J. D. Prince is a crucial resource for all those interested in artificial intelligence, machine learning, and computer vision. With its user-friendly tone, comprehensive content, and real-world references, it is sure to become your go-to guide in the realm of computer vision. Delve into this fascinating realm and unlock the secrets that computers hold in transforming our vision into tangible, practical results.
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Authors: Simon J. D. Prince
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Publisher: Cambridge University Press
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Published Date: June 18, 2012
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Page Count: 599
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Tools and algorithms for analyzing images
"Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images" is the perfect introduction for those seeking a basic understanding of computer vision's underlying principles and algorithms. Written in simple yet engaging Python code, this handbook takes you on a journey through various techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and more. It explains complex concepts in an easy-to-digest manner without overwhelming you with unnecessary theory.
The book features complete code samples, ensuring you can reproduce, build upon, and ultimately master each example provided. With sections on image analysis, robot navigation, and medical applications, this comprehensive guide is ideal for students, researchers, and computer vision enthusiasts.
It empowers you to work with image mappings and transforms, 3D reconstructions, content-based image organization, and efficient retrieval techniques. Through the use of popular OpenCV library interfaces, you'll be equipped to classify image content, recognize objects, and explore numerous visually engaging applications. So, whether you're new to computer vision or looking to expand your skills, this 264-page gem by Jan Erik Solem is the ideal companion for your visual computing journey.
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Authors: Jan Erik Solem
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Publisher: "O'Reilly Media, Inc."
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Published Date: June 19, 2012
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Page Count: 264
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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"Computer Vision for Visual Effects" is a comprehensive guide to understanding the principles and techniques behind the innovative visual effects that are driving the entertainment industry. This book delves into classical computer vision algorithms and the latest developments in the field, offering a unique perspective on how these mathematical concepts are practically applied in the creation of stunning visuals in movies and television.
The author, Richard J. Radke, provides an in-depth insight into the subject as he draws from the experiences of over 20 leading Hollywood visual effects artists, integrating their first-hand accounts with the theory and techniques taught in the book. With an abundance of over 200 original images, readers can visualize the ideas being discussed and envision the practical applications, making the learning experience more engaging and relatable.
"Computer Vision for Visual Effects" is a valuable resource for students, researchers, and professionals in the field of computer vision and visual effects. It offers an informative and captivating look into the ever-evolving world of computer vision and its transformative power in the entertainment industry.
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Authors: Richard J. Radke
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Publisher: Cambridge University Press
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Published Date: March 30, 2013
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Page Count: 409
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Print Type: BOOK
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Categories: Business & Economics
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Maturity Rating: NOT_MATURE
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Language: en
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Advanced Topics in Computer Vision is an extensive exploration into the realm of computer vision research. This book brings together a diverse range of groundbreaking studies, delving into the theoretical and practical aspects of reconstruction, registration, and recognition.
Authored by renowned experts Giovanni Maria Farinella, Sebastiano Battiato, and Roberto Cipolla, this comprehensive work covers a multitude of challenging areas within computer vision. Key topics include investigating visual features, trajectory features, and stereo matching, as well as delving into semi-supervised object recognition and novel methods for human action categorization.
The authors offer sophisticated insights on localizing MAVs, utilizing moment constraints in convex shape optimization, and tackling the co-recognition problem through distance-based classifiers for large-scale image classification. Readers are also introduced to the application of the Four-color theorem for solving MAX-2SAT problems and innovative approaches in indoor environment understanding and temporal super-resolution video.
In total, Advanced Topics in Computer Vision provides 433 pages of invaluable content, published by Springer Science & Business Media in 2013. This book is a must-read for professionals, researchers, and students seeking a deeper understanding of computer vision and its applications.
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Authors: Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla
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Publisher: Springer Science & Business Media
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Published Date: September 24, 2013
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Page Count: 433
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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A Reference Guide
Explore the realm of Computer Vision with this all-encompassing resource guide. Crafted in an A-Z manner, this comprehensive reference includes over 240 entries, offering a detailed examination of every facet of the field. Ideal for individuals new to Computer Vision or those looking to delve deeper into their specialized domain, this invaluable guide provides an excellent starting point for all readers. With over 200 contributors hailing from various sectors of both the industry and academia, this volume ensures diverse and well-rounded perspectives.
Each comprehensive entry features synonyms, definitions, and discussions, backed by an extensive bibliography. A robust system of cross-references, alongside advice from a prestigious international advisory board, ensures scientifically accurate coverage that is balanced and thorough. With over 3700 bibliographic references, navigating through this guide is as seamless as turning a page to discover further insights into any topic.
Celebrating an accessible and instructive approach, Computer Vision: A Reference Guide is an indispensable resource for students diving into the field, as well as professionals seeking practical applications. Regardless of your expertise level, this exhaustive guide will remain your indispensable companion amidst the dynamic evolution of Computer Vision.
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Publisher: Springer
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Published Date: April 22, 2014
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Survey, Taxonomy, and Analysis
"Dive into the world of computer vision metrics with 'Computer Vision Metrics: Survey, Taxonomy, and Analysis. ' This comprehensive guide delves into over a hundred current and historical feature extraction and machine vision methods, offering a detailed taxonomy for local, regional, and global features. Discover the intricate designs behind interest point detectors and feature descriptors, and explore how to fine-tune these methods for optimal effectiveness.
'Computer Vision Metrics' is not just a hands-on guide; it provides a deeper understanding of the theoretical background behind these techniques. With over 540 references available, readers can delve deeper into the subject matter. This book is a must-read for professionals and enthusiasts alike who want to gain a more profound understanding of the fascinating world of computer vision metrics. Apress has published this insightful work, and don't miss this chance to explore the world of vision technology like never before! "
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Authors: Scott Krig
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Publisher: Apress
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Published Date: June 14, 2014
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Page Count: 498
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Print Type: BOOK
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Categories: Computers
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Average Rating: 5.0
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Ratings Count: 1.0
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Maturity Rating: NOT_MATURE
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Language: en
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Principles, Algorithms, Applications, Learning
Computer Vision: Principles, Algorithms, Applications, Learning is an authoritative text on computer vision that provides a comprehensive and up-to-date understanding of the field suitable for students, researchers, and R&D engineers. This fully revised fifth edition, previously entitled Computer and Machine Vision, covers the essential principles while emphasizing algorithmic and practical design constraints. It introduces new chapters on Machine Learning, which highlight the subject's development.
The book delves into basic classification concepts, probabilistic models, and the intricacies of Deep Learning Networks, providing practical demonstrations of their application and impact on computer vision. The text also features discussions on geometric transformations, the EM algorithm, boosting, semantic segmentation, and face frontalisation.
Necessary mathematics, essential theory, and tailored programming examples make the subject approachable, while discussions on 'recent developments' within each chapter keep readers informed of the rapidly evolving field.
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Authors: E. R. Davies
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Publisher: Academic Press
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Published Date: November 15, 2017
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Page Count: 900
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Expert techniques to train advanced neural networks using TensorFlow and Keras
Dive into the world of Computer Vision and deep learning with "Deep Learning for Computer Vision, " a comprehensive guide to training advanced neural networks using TensorFlow and Keras. This book, perfect for data scientists and Computer Vision practitioners, takes you through practical examples of developing Computer Vision applications that leverage the power of deep learning. From object classification and detection to image segmentation, captioning, and face analysis, this book explores an array of Computer Vision tasks with an emphasis on Python libraries TensorFlow and Keras.
Master the art of state-of-the-art deep learning algorithms through hands-on implementation and deployment. With an average rating of 4.0, this 300-page book is your gateway to unlocking the full potential of Deep Learning in Computer Vision.
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Authors: Rajalingappaa Shanmugamani
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Publisher: Packt Publishing Ltd
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Published Date: January 23, 2018
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Page Count: 304
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Print Type: BOOK
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Categories: Computers
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Average Rating: 4.0
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Ratings Count: 1.0
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Maturity Rating: NOT_MATURE
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Language: en
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"Computer Vision for Assistive Healthcare" is a comprehensive exploration of how advanced computer vision methods can support crucial human needs, including mental functioning, personal mobility, sensory functions, daily living activities, and more. Written by the accomplished team of Leo Marco and Giovanni Maria Farinella, this book delves into the fascinating world of computer vision and its application in assistive healthcare.
The authors showcase the emergence of cutting-edge computer vision techniques for enhancing mental functioning while discussing algorithms for analyzing human behavior. This book also highlights the role of smart interfaces and virtual reality tools in the development of advanced rehabilitation systems capable of recognizing and performing human actions and activities.
Another compelling aspect of the book is its coverage of intelligent wheelchairs, the potential of computer vision technologies to aid the blind, and computer vision-based solutions for safety and health monitoring. This engaging and informative read provides a broad range of topics, from image processing, pattern recognition, machine learning, and robotics to natural language processing and computer graphics.
By presenting a diverse selection of application areas - from mobility and sensory substitution to safety and security, mental and physical rehabilitation, and training - the authors ensure that readers gain a deep understanding of the various ways computer vision techniques can be applied within the assistive healthcare field.
Furthermore, the authors emphasize the ongoing research challenges in this rapidly evolving field, providing valuable indicators for researchers seeking opportunities to push the boundaries of computer vision and assistive healthcare.
"Computer Vision for Assistive Healthcare" is a must-read for those interested in the intersection of computer vision and assistive healthcare - a field that promises to revolutionize the way we support and care for people with disabilities and various health challenges.
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Authors: Leo Marco, Giovanni Maria Farinella
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Publisher: Academic Press
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Published Date: May 15, 2018
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Page Count: 396
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
Immerse yourself in the captivating realm of Computer Vision through this comprehensive guide, which covers the construction of six complete end-to-end projects. Meticulously crafted by Matthew Rever, this book presents a practical methodology for addressing real-life issues in Computer Vision using Python, OpenCV, and TensorFlow.
Regardless of whether you are a Python programmer or a machine learning professional, you will obtain an extensive understanding of implementing image classification, object detection, and more. The examples encompass handwritten digit classification to tracking human body poses, providing a diverse and engaging learning experience.
Prominent features like setting up Anaconda and Python for major operating systems, robust support vector machines, and deep learning with TensorFlow enable you to effectively tackle a multitude of Computer Vision projects. By combining innovative third-party libraries with practical exercises, this book allows you to unlock your potential in the field and ultimately create your own thrilling Computer Vision projects. Don't miss this exceptional chance to enhance your skills and delve into the intricacies of machine learning and Computer Vision with Python, OpenCV, and TensorFlow.
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Authors: Matthew Rever
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Publisher: Packt Publishing Ltd
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Published Date: December 28, 2018
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Page Count: 179
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Embark on an enlightening journey into the world of terpenoids, nature's chemical army, with "Terpenoids Against Human Diseases" by Dijendra Nath Roy. This groundbreaking book takes readers on an exploration of the therapeutic potential of terpenoids - a class of organic compounds - in the fight against various human diseases.
From their role as biological messengers to their potential in combating liver disease, neurodegenerative disorders, cancer, infectious diseases, cardiovascular issues, and inflammation, this book leaves no stone unturned. It delves deep into the intricacies of terpenoids, emphasizing their production through metabolic engineering and the challenges they pose as potential treatments.
"Terpenoids Against Human Diseases" is a must-read for anyone interested in the fascinating intersection of chemistry and medicine. Whether you're a student, researcher, or simply curious, this book offers a wealth of information that could potentially change the course of human health. Get ready to be inspired by the power of nature and the incredible potential of terpenoids.
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Authors: Dijendra Nath Roy
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Publisher: CRC Press
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Published Date: March 11, 2019
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Page Count: 252
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Print Type: BOOK
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Categories: Medical
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Maturity Rating: NOT_MATURE
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Language: en
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Infrastructure Computer Vision serves as a complete resource that simplifies the complexities surrounding computer vision technology. This guide delves into the intricacies of computer-assisted vision, with a goal to equip civil engineers with the necessary technical knowledge to seamlessly integrate this cutting-edge technology into their projects.
It sheds light on the process of gathering and appraising raw geometric and visual information from infrastructure scenes while highlighting the benefits of converting the gathered data into useful insights stored in Digital Twins. Acting as a bridge between the theoretical and practical implications of computer vision, this book is an invaluable tool for engineers driven to transform infrastructure management through innovation.
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Authors: Ioannis Brilakis, Carl Thomas Michael Haas
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Publisher: Butterworth-Heinemann
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Published Date: November 28, 2019
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Page Count: 408
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Print Type: BOOK
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Categories: Technology & Engineering
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Maturity Rating: NOT_MATURE
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Language: en
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Principles and Applications
Unlock the revolutionary power of deep learning in computer vision with "Deep Learning in Computer Vision: Principles and Applications. " This comprehensive guide by Mahmoud Hassaballah and Ali Ismail Awad offers a wealth of knowledge on deep learning and its implications for the field of computer vision.
From accelerating convolutional neural network inference on field-programmable gate arrays to tumor detection and skin melanoma classification, this book explores a diverse range of topics in deep learning concepts and applications. Its eleven chapters, written independently, allow readers to delve into specific subject matter without feeling overwhelmed by an overwhelming amount of information.
Equally beneficial for researchers, postgraduate students, and enthusiasts, "Deep Learning in Computer Vision" serves as a valuable resource in deep learning, image processing, and pattern recognition. As it provides in-depth coverage of the latest techniques, this book is bound to keep you on the cutting edge of technology.
With a published date of March 23, 2020, this 261-page book, published by CRC Press, presents not only an extensive overview of the topic but also an engaging and insightful journey through the world of computer vision and deep learning. Don't miss the opportunity to join the ranks of satisfied readers with an average rating of 5.0, giving this book their seal of approval!
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Authors: Mahmoud Hassaballah, Ali Ismail Awad
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Publisher: CRC Press
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Published Date: March 23, 2020
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Page Count: 261
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Print Type: BOOK
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Categories: Computers
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Average Rating: 5.0
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Ratings Count: 1.0
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Maturity Rating: NOT_MATURE
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Language: en
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Volume 1: From Energy to Image
Unlock the mysteries of computer vision and image processing with the Handbook of Image Processing and Computer Vision, a three-volume compendium by Dr. Arcangelo Distante and Dr. Cosimo Distante. This invaluable resource delves deep into the foundations of the field, covering everything from signal acquisition and image formation to sophisticated algorithms for processing and analyzing visual data.
In Volume 1: From Energy to Image, the authors take you on a journey through the fundamental processes of artificial vision. Uncover the secrets behind the formation of digital images, from light energy to image restoration techniques. Gain a thorough understanding of optical systems, color perception, and analog-to-digital conversions, all underpinned by an in-depth exploration of the properties and enhancement of digital images.
Experience a comprehensive overview of image processing algorithms that work effectively to improve visual quality. Get acquainted with a range of segmentation algorithms and automatic point of interest detection. Venture into the realm of object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration.
The Handbook provides an introduction to the inner workings of four significant types of neural networks, crucial for intelligent machine vision systems. Whether you're an aspiring student, seasoned researcher, or industry professional, this book serves as the ultimate reference for all aspects of computer vision and image processing.
Get ready to embark on a transformative journey with the Handbook of Image Processing and Computer Vision, an indispensable educational tool and a source of inspiration for anyone looking to enhance the world with cutting-edge technology and a fresh perspective on the power of vision.
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Authors: Arcangelo Distante, Cosimo Distante
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Publisher: Springer Nature
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Published Date: May 28, 2020
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Page Count: 507
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
Immerse yourself in the art of computer vision and its profound impact on AI technology with "The Computer Vision Workshop. " This comprehensive guide, authored by Hafsa Asad, Vishwesh Ravi Shrimali, and Nikhil Singh, unravels the secrets behind how computers process digital images and videos to mimic human activities. Begin your journey with an introduction to the OpenCV library, before delving into essential image and video processing techniques, such as histograms, contours, and face processing.
As you advance, explore advanced computer vision and deep learning concepts, including 3D visualization. By the end of this engaging and informative work, you'll possess the practical skills required to build powerful applications to solve computer vision problems.
This book is ideal for researchers, developers, and data scientists seeking to automate everyday tasks using computer vision. A basic understanding of Python and deep learning is recommended to fully benefit from this workshop.
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Authors: Hafsa Asad, Vishwesh Ravi Shrimali, Nikhil Singh
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Publisher: Packt Publishing Ltd
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Published Date: July 27, 2020
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Page Count: 567
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Explore deep learning concepts and implement over 50 real-world image applications
"Modern Computer Vision with PyTorch" is a comprehensive guide for beginners and intermediate machine learning practitioners seeking to master computer vision techniques using PyTorch deep learning. Co-authored by V Kishore Ayyadevara and Yeshwanth Reddy, this book delves into the practical application of over 50 real-world computer vision ideas, from image classification to facial expression swapping, via hands-on examples and code snippets.
The book begins by taking readers through neural network architecture implementation, and the use of convolutional neural networks and transfer learning. Subsequent chapters delve into the mechanics of 2D and 3D multi-object detection and segmentation, the nuances of human-pose estimation, and the intricacies of autoencoders and generative adversarial networks.
In addition to the exploration of numerous real-world use-cases, readers are also introduced to the combination of computer vision with NLP techniques, including LSTM, transformers, and deep learning. An intriguing part of this book is the manipulation of images, a feat achievable through CycleGAN, Pix2PixGAN, StyleGAN2, and SRGAN, which are covered in depth.
The authors also provide an in-depth understanding of combining computer vision with reinforcement learning. This part of the book presents the creation of agents that can play pong and drive a car autonomously.
The book's final section offers a step-by-step guide on deploying neural network models on AWS Cloud using FastAPI, Docker.
In total, "Modern Computer Vision with PyTorch" encapsulates the practicality, versatility, and power of deep learning, making it a must-read for anyone looking to upscale their computational skills within computer vision and AI.
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Authors: V Kishore Ayyadevara, Yeshwanth Reddy
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Publisher: Packt Publishing Ltd
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Published Date: November 27, 2020
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Page Count: 805
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Embark on a hands-on journey with Practical Machine Learning for Computer Vision! In this comprehensive guide, renowned authors Valliappa Lakshmanan, Martin Görner, and Ryan Gillard expertly demonstrate how to leverage machine learning to extract valuable insights from images.
Learn the ins and outs of solving common image problems, such as classification, object detection, and image generation. Explore best practices with proven ML techniques, making it perfect for ML engineers and data scientists. This book is the ultimate guide to end-to-end deep learning, featuring steps on dataset creation, data preprocessing, model design, training, evaluation, deployment, and interpretability.
Discover the secrets behind developing accurate and explainable ML models that are suitable for large-scale production using robust architecture. Learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. Master image preprocessing for data augmentation and support enhanced learnability. Incorporate explainability and responsible AI best practices.
Deploy image models as reliable web services or on edge devices. Effortlessly monitor and manage your ML models with confidence. This book has everything you need to harness the power of machine learning for computer vision applications.
Practical Machine Learning for Computer Vision, published by O'Reilly Media, Inc. , encompasses 481 pages packed with actionable insights, making it the go-to resource for ML enthusiasts and professionals alike. Don't be left behind - explore the practical applications of machine learning with this insightful guide by respected authors Valliappa Lakshmanan, Martin Görner, and Ryan Gillard.
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Authors: Valliappa Lakshmanan, Martin Görner, Ryan Gillard
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Publisher: "O'Reilly Media, Inc."
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Published Date: July 21, 2021
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Page Count: 481
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Uncover the depths of computer vision with "Advanced Methods and Deep Learning in Computer Vision" by E. R. Davies and Matthew Turk. This comprehensive guide showcases cutting-edge techniques in machine and deep learning, empowering readers to delve into the latest applications for computer vision.
With a focus on principles and algorithms, the book masterfully presents advanced topics, including deep reinforcement learning and generative adversarial networks. It offers clear explanations while demonstrating their utility in fields such as object detection, semantic segmentation, visual search, and more.
"Advanced Methods and Deep Learning in Computer Vision" is suitable for both researchers and practitioners, and serves as an essential text for graduate students and advanced undergraduates. As an influential work by industry leaders, this book offers invaluable insights into the evolving world of computer vision and deep learning. Dive into its 584 pages of real-world applications and transform your understanding of computer vision today.
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Authors: E. R. Davies, Matthew Turk
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Publisher: Academic Press
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Published Date: November 09, 2021
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Page Count: 584
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Improve the Efficiency of Artificial Intelligence
Low-Power Computer Vision delves into the critically important subject of energy efficiency in artificial intelligence, essential for running computer vision in mobile phones and drones. This book compiles the methods from the annual IEEE Low-Power Computer Vision Challenges, featuring the winning solutions from 2015. The authors share their expertise, revealing how to enhance the performance of machine learning systems while consuming minimal power.
This comprehensive guide, published by CRC Press, boasts 395 pages packed with insights and practical tips for improving the efficiency of computer vision.
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Authors: George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen, Bo Chen
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Publisher: CRC Press
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Published Date: February 22, 2022
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Page Count: 395
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en