DocumentCode :
3206096
Title :
The alignment of objects with smooth surfaces: error analysis of the curvature method
Author :
Basri, Ronen
Author_Institution :
AI Lab., MIT, Cambridge, MA, USA
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
341
Lastpage :
346
Abstract :
The recognition of objects with smooth bounding surfaces from their contour images is addressed. In particular, the curvature method is applied to ellipsoidal objects and the error for different rotations of the objects is computed analytically. It is seen that the error depends on the exact shape of the ellipsoid (namely, the relative lengths of its axes), and it increases as the ellipsoid becomes elongated in the Z-direction. It is shown that the errors are usually small, and that, in general, a small number of models is required to predict the appearance of an ellipsoid from all possible views
Keywords :
image recognition; contour images; curvature method; error analysis; objects alignment; smooth surfaces; Artificial intelligence; Contracts; Ellipsoids; Error analysis; Image recognition; Laboratories; Neuroscience; Object recognition; Predictive models; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223167
Filename :
223167
Link To Document :
بازگشت