DocumentCode :
3015253
Title :
An Efficient Minimal Solution for Infinitesimal Camera Motion
Author :
Stewénius, Henrik ; Engels, Chris ; Nistér, David
Author_Institution :
Univ. of Kentucky, Lexington
fYear :
2007
fDate :
17-22 June 2007
Firstpage :
1
Lastpage :
8
Abstract :
Given five motion vectors observed in a calibrated camera, what is the rotational and translational velocity of the camera? This problem is the infinitesimal motion analogue to the five-point relative orientation problem, which has previously been solved through the derivation of a tenth-degree polynomial and extraction of its roots. Here, we present the first efficient solution to the infinitesimal version of the problem. The solution is faster than its finite counterpart. In our experiments, we investigate over which range of motions and scene distances the infinitesimal approximation is valid and show that the infinitesimal approximation works well in applications such as camera tracking.
Keywords :
cameras; image motion analysis; camera tracking; efficient minimal solution; five-point relative orientation problem; infinitesimal camera motion; rotational velocity; translational velocity; Approximation algorithms; Cameras; Geometrical optics; Image motion analysis; Layout; Optical sensors; Polynomials; Tracking; Virtual environment; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1063-6919
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2007.383113
Filename :
4270138
Link To Document :
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