Title :
Acceleration-based structure-from motion
Author :
Horswill, Ian D. ; Thompson, William B.
Abstract :
A method is presented for recovering the rotation of a moving object using both velocity and acceleration. Acceleration is a useful form of information to incorporate into a structure-from motion system. It allows the use of clustering algorithms for recovering the motion parameters of a rotating object, which in turn allows the weakening of the spatial continuity constraint to a spatial coherence constraint, together with a temporal continuity constraint. This allows the integration of information over both time and space without limiting assumptions about surface structure
Keywords :
pattern recognition; acceleration; clustering algorithms; pattern recognition; rotation; spatial coherence constraint; structure-from motion system; temporal continuity constraint; velocity; Acceleration; Clustering algorithms; Layout; Noise robustness; Spatial coherence;
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
0-8186-0862-5
DOI :
10.1109/CVPR.1988.196259