Object segmentation algorithm for use in recognizing 3-D partially     occluded objects

Kuo-Chin Fan; Chia-Yuan Chang

doi:10.1117/12.45508

1 March 1991 Object segmentation algorithm for use in recognizing 3-D partially occluded objects

Kuo-Chin Fan, Chia-Yuan Chang

Proceedings Volume 1468, Applications of Artificial Intelligence IX; (1991) https://doi.org/10.1117/12.45508
Event: Orlando '91, 1991, Orlando, FL, United States

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.

Citation Download Citation

Kuo-Chin Fan and Chia-Yuan Chang "Object segmentation algorithm for use in recognizing 3-D partially occluded objects", Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); https://doi.org/10.1117/12.45508

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