Title :
A sequential algorithm for motion estimation from point correspondences with intermittent occlusions
Author :
Hebert, Thomas J. ; Yang, Xudong
Author_Institution :
Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA
Abstract :
Practical applications of estimating an objects motion from an image sequence must address the occlusion of feature points. A sequential algorithm for estimating an object´s motion and structure based upon minimizing a conditional least squares criterion is formulated. In comparison to a batch least squares solution based upon twenty image frames, this structure achieved a 98.7 fold reduction in computation time at the cost of an overall 3% increase in estimation error
Keywords :
computational complexity; image sequences; least squares approximations; motion estimation; parameter estimation; batch least squares solution; computation time reduction; conditional least squares criterion; estimation error; feature points; image frames; image sequence; intermittent occlusions; motion estimation; object structure; point correspondences; sequential algorithm; Application software; Costs; Estimation error; Image reconstruction; Image sequences; Least squares approximation; Motion estimation; Noise level; Object recognition; Surface reconstruction;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537454
