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

Kuo Chin Fan, Chia Yuan Chang

Research output: Contribution to journalConference articlepeer-review

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 3-D overlapping objects which can be represented by straight-line drawings projected on 2-D image plane. The goal is to decompose the visual scene into several 3-D 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.

Original languageEnglish
Pages (from-to)674-684
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1468
Issue numberpt 2
StatePublished - 1991
EventApplications of Artificial Intelligence IX - Orlando, FL, USA
Duration: 2 Apr 19914 Apr 1991

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