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