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http://dx.doi.org/10.5391/JKIIS.2008.18.2.206

Occlusion Processing in Simulation using Improved Object Contour Extraction Algorithm by Neighboring edge Search and MER  

Cha, Jeong-Hee (숭실대학교 컴퓨터학과)
Kim, Gye-Young (숭실대학교 컴퓨터학과)
Choi, Hyung-Il (숭실대학교 미디어학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.2, 2008 , pp. 206-211 More about this Journal
Abstract
Trainee can enhance his perception of and interaction with the real world by displayed virtual objects in simulation using image processing technology. Therefore, it is essential for realistic simulation to determine the occlusion areas of the virtual object produces after registering real image and virtual object exactly. In this paper, we proposed the new method to solve occlusions which happens during virtual target moves according to the simulated route on real image using improved object contour extraction by neighboring edge search and picking algorithm. After we acquire the detailed contour of complex objects by proposed contour extraction algorithm, we extract the three dimensional information of the position happening occlusion by using MER for performance improvement. In the experiment, we compared proposed method with existed method and preyed the effectiveness in the environment which a partial occlusions happens.
Keywords
Object Contour Extraction Algorithm; Neighboring Edge Search; Gradient Vector Flow; MER; Occlusion; Simulation;
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