Sparse Vs. Dense Optical Flow Sparse Optical Flow: 1. Computes motion vectors for specific feature points in an image. 2. Focuses on tracking motion in selected key points or regions. 3. Requires less computational power but may miss subtle motions in between tracked points. Dense Optical Flow: 1. Computes motion vectors for every pixel in an image. 2. Captures motion information for the entire image. 3. Provides a more detailed representation of motion but requires more computational resources.