DocumentCode :
2630797
Title :
Structure from multiple 2D affine correspondences without camera calibration
Author :
Schweitzer, Haim ; Krishnan, Radha
Author_Institution :
Texas Univ., Dallas, TX, USA
fYear :
1996
fDate :
18-20 Jun 1996
Firstpage :
258
Lastpage :
263
Abstract :
Image motion induced by camera or object motion can be approximated locally by an affine coordinate transformation. We extract 3D information directly from the affine parameters, without camera calibration. The derivation relies on the following assumptions: the object is rigid locally planar, and its local 3D motion is translation. These assumptions enable complete recovery of 3D structure, whereas it is impossible to compute the direction (and magnitude) of the motion. Still, it is possible to distinguish between objects moving differently. Explicit expressions for the structure and the motion indicators are given in terms of the 6 affine parameters, computed for each image patch. Results of experiments on data with known ground truth are described
Keywords :
image reconstruction; motion estimation; 2D affine correspondences; 3D structure; affine parameters; ground truth; image motion; recovery; rigid locally planar; Calibration; Cameras; Computer vision; Data mining; Layout; Least squares approximation; Least squares methods; Motion analysis; Motion estimation; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location :
San Francisco, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-7259-5
Type :
conf
DOI :
10.1109/CVPR.1996.517083
Filename :
517083
Link To Document :
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