The Shi-Tomasi Corner Detector is an enhancement of the Harris Corner Detector, designed to improve feature detection by selecting corners based on the minimum eigenvalue of the gradient covariance matrix. This method is particularly effective in computer vision applications, as it provides a more accurate and reliable identification of corner points in images, which are crucial for tasks like image matching and object recognition.