KLT: An Implementation of the
Kanade-Lucas-Tomasi Feature Tracker
KLT: An Implementation of the
Kanade-Lucas-Tomasi Feature Tracker
KLT: An Implementation of the
Kanade-Lucas-Tomasi Feature Tracker
Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.
