Harris Corner Detection Code Implementation

Harris Corner Detection Algorithm in Computer Vision - Code Implementation and Algorithm Analysis. Proposed in 1988 by Chris Harris and Mike Stephens, this corner detection method identifies intersection points in images. Corner detection algorithms can be categorized into three types: gray-scale image-based, binary image-based, and contour curve-based approaches. The gray-scale based methods further divide into gradient-based, template-based, and hybrid template-gradient methods. The implementation involves calculating image gradients, structure tensor components, and corner response functions to identify points with significant intensity variations.