Computing Optical Flow to Obtain Motion Field
Optical flow computation generates motion fields using the Lucas-Kanade algorithm, which estimates pixel-level displacements between consecutive frames.
Motion Field Computation Using Optical Flow
Motion field computation through optical flow using the Lucas-Kanade algorithm with implementation insights and practical applications.
Optical Flow Computation from Two Frames in AVI Video Using MATLAB
A MATLAB program that reads two consecutive frames from an AVI video file and performs optical flow calculation using Horn-Schunck (HS) algorithm, Lucas-Kanade (LK) method, and block matching approach with implementation details.
Implementation of Eight-Point Algorithm and Optical Flow Computation with Unreliable Region Detection
This codebase consists of two main components: the first implements the eight-point algorithm for fundamental matrix estimation in computer vision, while the second handles optical flow computation and detection of unreliable motion regions. The implementation includes feature matching, robust estimation techniques, and motion vector analysis with confidence measures.
Optical Flow Computation Using Phase and Lucas-Kanade Methods
MATLAB source code for optical flow estimation leveraging phase correlation and Lucas-Kanade algorithms, enabling robust motion analysis in video sequences.