SIFT match keypoints and draw.

gistfile1.txt

def matchSIFTKeyPoints(self, template, quality=200):
    try:
        import cv2
    except ImportError:
        logger.warning("OpenCV >= 2.3.0 required")
    if template == None:
        return None
    detector = cv2.FeatureDetector_create("SIFT")
    descriptor = cv2.DescriptorExtractor_create("SIFT")
    img = self.getNumpyCv2()
    template_img = template.getNumpyCv2()

    skp = detector.detect(img)
    skp, sd = descriptor.compute(img, skp)

    tkp = detector.detect(template_img)
    tkp, td = descriptor.compute(tmeplate_img, tkp)

    idx, dist = self._getFLANNMatches(sd, td)
    tfs = []
    for i, dis in itertools.izip(idx, dist):
        if dis < quality:
            tfs.append(KeyPoint(template, tkp[i], td, "SIFT"))

    idx, dist = self._getFLANNMatches(td, sd)
    sfs = []
    for i, dis in itertools.izip(idx, dist):
        if dis < quality:
            sfs.append(KeyPoint(template, skp[i], sd, "SIFT"))

    return sfs, tfs
def drawSIFTKeyPointMatch(self, template, quality=200, width=1):
    if template == None:
        return
    resultImg = template.sideBySide(self,scale=False)
    hdif = (self.height-template.height)/2
    sfs, tfs = self.matchSIFTKeyPoints(template, quality)
    for skp, tkp in itertools.izip(sfs, tfs):
        pt_a = (int(tkp.y), int(tkp.x)+hdif)
        pt_b = (int(skp.y)+template.width, int(skp.x))
        resultImg.drawLine(pt_a, pt_b, color=Color.getRandom(Color()),thickness=width)
    return resultImg