Object segmentation algorithm for use in recognizing 3-D partially occluded objects
Kuo‐Chin Fan, Chia-Yuan Chang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
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.