Title :
Estimating rigid motions via the conformal model of Euclidean space
Author_Institution :
Dept. of Informatics, Edinburgh Univ., UK
Abstract :
Estimating rigid motions from 3-D point correspondences and image projections is an important computer vision problem. We present a novel estimation algorithm using the recent conformal model of Euclidean space. We derive an origin independent semi-closed form for the optimal transformation, solving it using an SVD-based technique.
Keywords :
computer vision; geometry; motion estimation; singular value decomposition; Euclidean space; computer vision; conformal model; image projections; motion estimation; singular value decomposition; Cameras; Computational geometry; Computer vision; Informatics; Information geometry; Layout; Motion estimation; Parameter estimation; Solid modeling; Videos;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334088
