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Computing 3D object parts from similarities among object views

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1 Author(s)
Cutzu, F. ; Dept. of Comput. Sci., Toronto Univ., Ont., Canada

The following shape segmentation problem is addressed: find the part decomposition of a 3D object that accounts for an observed pattern of similarities among several of the object's views. This represents the inverse, ill-posed version of the direct problem of computing perceptual similarities among object views when the object parts are known. The problem is solved by inverting a proposed model for the direct similarity-from-parts problem by resorting to regularization techniques. The algorithm takes as input the geometry of the object (given as a triangular mesh), the camera positions corresponding to the rest views, and the perceptual similarities among the test views. The output of the algorithm is a segmentation of the surface of the object into connected regions, i.e., parts

Published in:

Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on  (Volume:2 )

Date of Conference:

2000