A sequential algorithm for motion estimation from point correspondences with intermittent occlusions

Authors:
T. J. Hebert;X. Yang
Affiliations:
-;-
Venue:
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Year:
1995

Citing 8
Cited 0

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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.