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