DocumentCode :
2078465
Title :
Registration without correspondences
Author :
Fua, P. ; Leclerc, Y.G.
Author_Institution :
SRI Int., Menlo Park, CA, USA
fYear :
1994
fDate :
21-23 Jun 1994
Firstpage :
121
Lastpage :
128
Abstract :
We present a method for registering images of complex 3D surfaces that does not require explicit correspondences between features across the images. Our method relies on the use of a full 3D model of the surface to adjust the position and orientation of the camera by minimizing an objective function based on the projections of the images onto the model. This approach constrains the camera parameters strongly enough so that the models do not need, initially, to be accurate to yield good results. When registration has been achieved, the models can be refined and the fine details recovered. Our method is applicable to the calibration of stereo imagery, the precise registration of new images of a scene and the tracking of deformable objects. It can therefore lead to important applications in fields such as augmented reality in a medical context or data compression for transmission purposes. We demonstrate its applicability by using images of faces and of terrain
Keywords :
calibration; feature extraction; optimisation; stereo image processing; augmented reality; camera parameters; complex 3D surfaces; correspondences; data compression; deformable object tracking; facial images; full 3D model; image projections; image registration; minimizing; objective function; orientation; position; stereo imagery calibration; terrain images; three dimensional model; Calibration; Feature extraction; Image registration; Optimization methods; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location :
Seattle, WA
ISSN :
1063-6919
Print_ISBN :
0-8186-5825-8
Type :
conf
DOI :
10.1109/CVPR.1994.323818
Filename :
323818
Link To Document :
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