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Part segmentation of objects in real images

Guillaume-Alexandre Bilodeau and Robert Bergevin

Abstract - This paper addresses one major aspect of a project aimed at the design of an image database query engine, where the images are searched at the 3D object-level. This approach is a novelty since image databases are usually searched by comparing colours, textures and 2D shapes of regions in the images. The main topic and contribution of this paper is a new method for object part segmentation, from constant-curvature contour primitives, that is suited to process images of objects in real scenes. The proposedmethod groups constant-curvature primitives using intermediate-level geometric relationships and object outline information. A detailed description of the method is presented along with validating experiments.

Bibtex:

@article{Bilodeau80,
author    = { Guillaume-Alexandre Bilodeau and Robert Bergevin },
title     = { Part segmentation of objects in real images },
volume    = { 35 },
number    = { 12 },
pages     = { 2913-2926 },
year      = { 2002 },
month     = { December },
journal   = { Pattern Recognition }
}

Last modification: 2002/07/09 by bilodeau

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