DocumentCode :
3534017
Title :
Highly specific pose estimation with a catadioptric omnidirectional camera
Author :
Magnier, Baptiste ; Comby, Frédéric ; Strauss, Olivier ; Triboulet, Jean ; Demonceaux, Cédric
Author_Institution :
LIRMM, Univ. Montpellier II, Montpellier, France
fYear :
2010
fDate :
1-2 July 2010
Firstpage :
229
Lastpage :
233
Abstract :
This article presents a new method for estimating the pose of para-catadioptric vision systems. It is based on the estimation of vanishing points associated with vertical edges of the environment. However, unlike classical approaches no feature (line, circle) extraction and/or identification is needed. A sampled domain of possible vanishing points is tested and histograms are build to characterize the soundness of these points. A specificity index allows to find the more relevant histogram and the pose of the sensor. This method has been tested on simulated and real images giving very promising results (maximum angular error of 0.18 degree).
Keywords :
cameras; computer vision; image sensors; pose estimation; catadioptric omnidirectional camera; histograms; paracatadioptric vision systems; pose estimation; specificity index; vanishing point estimation; Cameras; Dynamic programming; Electric variables measurement; Energy measurement; Focusing; Laplace equations; Lenses; Neural networks; Shape measurement; Size measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques (IST), 2010 IEEE International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-6492-0
Type :
conf
DOI :
10.1109/IST.2010.5548450
Filename :
5548450
Link To Document :
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