DocumentCode :
178138
Title :
A New Geometric Approach for Faster Solving the Perspective-Three-Point Problem
Author :
Masselli, A. ; Zell, A.
Author_Institution :
Fac. of Sci., Dept. of Cognitive Syst., Univ. of Tuebingen, Tubingen, Germany
fYear :
2014
fDate :
24-28 Aug. 2014
Firstpage :
2119
Lastpage :
2124
Abstract :
We present a fast and simple method for solving the perspective-three-point (P3P) problem. The problem is specified as finding the position and orientation of a camera from a single image, showing three points, while the position of the corresponding points in the world is known. Our approach is based on a new geometric parametrization, yielding simpler algebraic terms to compute, compared to all state-of-the-art methods. It is therefore faster and more accurate, since calculations are saved and rounding errors appear less. The method also showed to be robust against noise. A special case of this method has been successfully applied to a robotics scenario. However, the method is feasible for all applications that utilize P3P problem solvers.
Keywords :
computer vision; geometry; P3P problem; algebraic terms; camera orientation; camera position; geometric parametrization; noise robustness; perspective-three-point problem; robotics scenario; Cameras; Noise; Polynomials; Robustness; Runtime; Standards; Transforms; Egomotion Estimation; Imaging Geometry; Relative Orientation; Structure from Motion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
ISSN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2014.369
Filename :
6977081
Link To Document :
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