DocumentCode :
3129867
Title :
Geometric method for projective reconstruction of shape and motion using n uncalibrated cameras
Author :
Bayro-Corrochano, Eduardo ; Banarer, Vladimir
Author_Institution :
Comput. Sci. Inst., Christian Albrechts Univ., Kiel, Germany
fYear :
1999
fDate :
1999
Firstpage :
77
Lastpage :
83
Abstract :
The paper focus on the analysis and computing of the projective structure and motion using geometric invariants. This work relates current approaches in the geometric algebra framework, which results in geometric transparency and elegance. The papers presents experiments regarding projective reconstruction of shape and motion using both simulated and real images
Keywords :
computational geometry; computer vision; image reconstruction; image sequences; motion estimation; singular value decomposition; geometric algebra; image sequences; motion estimation; projective depth; shape reconstruction; singular value decomposition; uncalibrated cameras; Algebra; Cameras; Computational modeling; Computer science; Equations; Image reconstruction; Kinematics; Motion analysis; Shape; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot Motion and Control, 1999. RoMoCo '99. Proceedings of the First Workshop on
Conference_Location :
Kiekrz
Print_ISBN :
0-7803-5655-1
Type :
conf
DOI :
10.1109/ROMOCO.1999.791057
Filename :
791057
Link To Document :
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