DocumentCode :
1742751
Title :
Three-dimensional projective reconstruction from three views
Author :
Habed, Adlane ; Boufama, Boubakeur
Author_Institution :
Sch. of Comput. Sci., Windsor Univ., Ont., Canada
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
415
Abstract :
In the computation of the 3D structure, it has been demonstrated that by introducing a third camera provides improvement over the use of two views only. In this paper, we propose a new algebraic derivation for the projection matrix of the third camera. This derivation is obtained by using the relationships between the projection matrices, the epipolar geometry and the trilinear tensors. Compared to previous methods, our method has the advantage to work in the special case where the camera centers are collinear. In addition, it has the advantage of simplicity and it is very straightforward to implement since it is a linear method. In our experiments, we used the view synthesis to high-light the quality of the computed projective structure. Tests have been performed on both synthetic and real data
Keywords :
computational geometry; computer vision; image reconstruction; matrix algebra; stereo image processing; tensors; 3D projective reconstruction; 3D structure; algebraic derivation; epipolar geometry; projection matrix; trilinear tensors; Application software; Cameras; Computer science; Computer vision; Geometry; Image reconstruction; Layout; Performance evaluation; Tensile stress; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.905365
Filename :
905365
Link To Document :
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