MATLAB Implementation of Image Optical Flow Calculation with Multiple Search Algorithms

This document presents a MATLAB-implemented image optical flow calculation program. The implementation features multiple search algorithms such as Full Search and Diamond Search based on block matching methodology. The program employs Minimum Absolute Error (MAE) criterion as the cost function for motion vector calculation. Key implementation details include: - Block matching framework dividing images into macroblocks for motion estimation - Full Search algorithm exhaustively checking all possible candidate blocks within search window - Diamond Search pattern using large and small diamond shapes for efficient motion vector tracking - MAE criterion calculation: sum of absolute differences between current and reference blocks - Algorithm optimization for balancing computational accuracy and processing efficiency These techniques collectively enhance the precision and performance of optical flow computation in digital image processing applications.