In this chapter, we looked at different feature detection algorithms such as Harris Corner Detection, Local Binary Classifiers, and ORB. These algorithms make it possible to perform image matching in a real-world scenario. Algorithms such as LBP, ORB compute features in an image that are insensitive to rotation, translation, and other minor distortions. Detecting corners in an image is helpful in applications such as image stitching where we want to correlate two images by finding the same points in different images. In the next chapter, we will look at image segmentation and its applications.

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