DocumentCode :
2224527
Title :
Algorithms for plane-based pose estimation
Author :
Sturm, Peter
Author_Institution :
INRIA, Montbonnot St. Martin, France
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
706
Abstract :
We present several methods for the estimation of relative pose between planes and cameras, based on projections of sets of coplanar features in images. While such methods exist for simple cases, especially one plane seen in one or several views, the aim of this paper is to propose solutions for multi-plane multi-view situations, possibly with little overlap. We propose a factorization-based method for the general case of n planes seen in m views. A mechanism for computing missing data, i.e. when one or several of the planes are not visible in one or several of the images, is described. Experimental results for real images are shown
Keywords :
cameras; image processing; matrix decomposition; cameras; coplanar features; experimental results; factorization-based method; missing data; multi-plane multi-view; plane-based pose estimation; Calibration; Cameras; Electrical capacitance tomography; Geometry; Image matching; Image reconstruction; Layout; Length measurement; Parallel processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
ISSN :
1063-6919
Print_ISBN :
0-7695-0662-3
Type :
conf
DOI :
10.1109/CVPR.2000.855889
Filename :
855889
Link To Document :
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