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Qualitative tracking of 3-D objects using active contour networks
Dickinson, S.J.   Jasiobedzki, P.   Olofsson, G.   Christensen, H.I.  
Dept. of Comput. Sci., Toronto Univ., Ont.;

This paper appears in: Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Publication Date: 21-23 Jun 1994
On page(s): 812-817
Meeting Date: 06/21/1994 - 06/23/1994
Location: Seattle, WA, USA
ISBN: 0-8186-5825-8
References Cited: 17
INSPEC Accession Number: 4771252
Digital Object Identifier: 10.1109/CVPR.1994.323904
Current Version Published: 2002-08-06

Abstract
In this paper, we track changes in the appearance of the object as it moves from one frame to the next. At a symbolic level, an aspect graph clusters all the views of an object into a set of topologically distinct classes in terms of which surfaces of an object are visible from a given viewpoint (Koenderink and van Doom (1979). Two nodes (or aspects) in the aspect graph are connected by an arc if it is possible to directly move from a viewpoint in which the first aspect is visible to a viewpoint in which the second aspect is visible. Qualitatively, we can envision a tracking strategy which simply tracks an object as it moves from one node to another in the object's aspect graph. Although it does not provide us with accurate pose of the object, it does qualitatively describe the motion of the object without the need for a CAD representation of the object

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