DocumentCode :
594837
Title :
3D object localization using single camera images
Author :
Buchholz, Dirk ; Kubus, Daniel ; Winkelbach, Simon ; Wahl, Friedrich M.
Author_Institution :
Inst. fur Robotik und Prozessinformatik, Tech. Univ. Braunschweig, Braunschweig, Germany
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
821
Lastpage :
824
Abstract :
In this paper we propose a generic 6d object localization approach based on surface normal images and CAD model data. Normal images or “normal maps” can be obtained using only one single camera shot of a simple camera-projector system. The advantages of this sensor setup are very short acquisition times and the exclusive use of consumer hardware, namely a projector and a grey value camera, making it easy and cheap to build up. All computations are analytically tractable and can be computed in the Fourier domain allowing a very effective and fast computation.
Keywords :
CAD; Fourier analysis; cameras; object recognition; optical projectors; pose estimation; 3D object localization; 6D object localization approach; CAD model data; Fourier domain; camera-projector system; consumer hardware; fast computation; grey value camera; image acquisition; normal images; normal maps; single camera images; surface normal images; Cameras; Correlation; Design automation; Estimation; Histograms; Robots; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460260
Link To Document :
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