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Proceedings Paper

Object segmentation algorithm for use in recognizing 3-D partially occluded objects
Author(s): Kuo-Chin Fan; Chia-Yuan Chang
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Paper Abstract

In this paper, an object segmentation algorithm is presented to extract partially occluded objects from a scene. The visual scene is composed of a group of 3D overlapping objects which can be represented by straight- line drawings projected on 2D image plane. The goal is to decompose the visual scene into several 3D objects by extracting line drawing from partially occluded scene. The criteria used for segmenting a visual scene into composing objects include junction type interpretation and region homogeneity. The segmented result can be used as a basis for partial matching in recognizing partially occluded objects.

Paper Details

Date Published: 1 March 1991
PDF: 11 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45508
Show Author Affiliations
Kuo-Chin Fan, National Central Univ. (Taiwan)
Chia-Yuan Chang, National Central Univ. (Taiwan)

Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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