DocumentCode :
2462740
Title :
A modal framework for correspondence and description
Author :
Sclaroff, Stan ; Pentland, Alex
Author_Institution :
Media Lab., MIT, Cambridge, MA, USA
fYear :
1993
fDate :
11-14 May 1993
Firstpage :
308
Lastpage :
313
Abstract :
The authors describe a framework for establishing correspondence, computing canonical descriptions, and recognizing objects that is based on the idea of describing objects by their generalized symmetries, as defined by the object´s free vibration modes. A technique given by A. Pentland and S. Scarloff (1991) described objects in terms of the modes of some prototype shape. In contrast, this new method computes the object´s modes directly from available image information. This results in greater generality and accuracy, and is applicable to data of any dimensionality. For the purposes of illustration, a detailed mathematical formulation of the method is given for 2-D problems, and it is demonstrated on gray-scale image and contour data
Keywords :
computer vision; image recognition; object recognition; 2-D problems; canonical descriptions; contour data; correspondence; description; free vibration modes; generalized symmetries; gray-scale image; mathematical formulation; modal framework; objects recognition; prototype shape; Deformable models; Frequency; Geometry; Laboratories; Machine vision; Object recognition; Prototypes; Robustness; Shape; Springs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
Type :
conf
DOI :
10.1109/ICCV.1993.378200
Filename :
378200
Link To Document :
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