Title :
Error analysis of 3D motion estimation algorithms in the differential case
Author :
Xiang, Tao ; Cheong, Loong-Fah
Author_Institution :
Dept. of Comput. Sci., Univ. of London, UK
Abstract :
We put forth in this paper a geometrically motivated 3D (three-dimensional) motion error analysis, which is capable of supporting investigation of global effect such as inherent ambiguities. The error expression that we derive allows us to predict the exact conditions likely to cause ambiguities and how these ambiguities vary with motion types such as lateral or forward motion. Our formulation, though geometrically motivated, is employed to model the effect of noise.
Keywords :
computational geometry; error analysis; image sequences; motion estimation; solid modelling; 3D motion estimation; condition prediction; error analysis; error expression; forward motion; inherent ambiguity; lateral motion; optimization cost function; three-dimensional; Computer aided software engineering; Computer vision; Cost function; Displacement measurement; Error analysis; Fluid flow measurement; Motion analysis; Motion estimation; Optical noise; Parameter estimation;
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1900-8
DOI :
10.1109/CVPR.2003.1211377
