Brightness Constancy Assumption is a fundamental principle in computer vision and image processing, asserting that the perceived brightness of an object remains constant despite changes in lighting or viewing conditions. This assumption is crucial for optical flow algorithms, enabling the estimation of motion by tracking pixel intensity over time.