Title :
Detecting 3-D motion field from range image sequences
Author :
Chaudhury, Krishnendu ; Mehrotra, Rajiv ; Srinivasan, Cid
Author_Institution :
Dept. of Adv. Dev., Adobe Syst. Inc., San Jose, CA, USA
fDate :
4/1/1999 12:00:00 AM
Abstract :
An algorithm for computing three-dimensional (3-D) velocity field and motion parameters from a range image sequence is presented. It is based on a new integral 3-D rigid motion invariant feature-the trace of a 3×3 “feature matrix” related to the moment of inertia tensor. This trace can be computed at every point of a moving surface and provides a quantitative measure of the local shape of the surface. Based on the feature´s conservation along the trajectory of every moving point, a 3-D Flow Constraint Equation is formulated and solved for the velocity field. The robustness of the feature in presence of noise and discontinuity is analyzed
Keywords :
image sequences; motion estimation; 3-D motion field; 3-D rigid motion invariant feature; Flow Constraint Equation; motion parameters; range image sequences; robustness; Computer vision; Equations; Image motion analysis; Image sequences; Motion analysis; Motion detection; Optical imaging; Optical noise; Shape measurement; Tensile stress;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.752806