Create a computer vision system using decision tree algorithms to solve a real-world problem : Image Transformations – P

The video tutorial explains the concept of perspective transformation, a crucial technique in image processing, especially for applications like self-driving cars. It covers identifying key points in an image, using OpenCV to apply the transformation, and discusses advanced techniques like template matching. The tutorial emphasizes the importance of perspective transformation in training deep networks and testing images.

How can advanced algorithms improve the identification of source points in images?

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Explain the difference between affine and projective transformations.

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