In this book, we have applied different image processing and Computer Vision techniques to images and videos. Starting from fundamental math operations, we saw how basic math can be used for different applications and how it is important to know mathematics to understand the basics of image processing. Those operations were extended to provide a clear means of image filtering. The main concept here was the image convolution when a transformation was applied for each image pixel. Then, we followed the path of object detection. We even created our own object detector! The face detection and tracking algorithms showed us that these types of methods can be applied to create a human interface. We saw an example of this in the previous chapter (cube rotation with a head). One of the most exciting methods is optical flow, with the help of which you can easily track objects and create complex programs that are controlled by gestures. Let's have a small exercise. In the following...
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