The Harris Corner Detector is an algorithm used in computer vision to identify points in an image where the intensity changes significantly in multiple directions, which are typically corners or interest points. It is widely used for feature detection in image processing and computer vision tasks due to its robustness to noise and invariance to rotation and illumination changes.