Augmented Reality with Multilayer Occlusion
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Date
2006
Authors
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Journal ISSN
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Publisher
The Eurographics Association
Abstract
An algorithm for realizing multilayer occlusion in augmented reality (AR) is presented in this paper. We have designed a special scene graph tree comprised of some special nodes, namely EMO nodes. According to the location of real moving object, different EMO node will be activated in real-time, consequently realizing the multilayer occlusion. Differing qualitatively from previous work in AR occlusion, our algorithm realizes multilayer occlusion, and its application domain involves indoor-field occluded objects, which are several meters distant from the viewer. Previous related work has focused on monolayer occlusion, and near-field occluded objects, which are within or just beyond arm s reach. In addition, BP neural network is improved to correct the nonlinear error of magnetic sensor, consequently to detect occlusion more effectively. Experimental results are provided to demonstrate the multilayer indoor-field occlusion.
Description
@inproceedings{:10.2312/LocalChapterEvents/TPCG/TPCG06/099-104,
booktitle = {Theory and Practice of Computer Graphics 2006},
editor = {Louise M. Lever and Mary McDerby},
title = {{Augmented Reality with Multilayer Occlusion}},
author = {Feng, Yan and Chen, Yimin},
year = {2006},
publisher = {The Eurographics Association},
ISBN = {3-905673-59-2},
DOI = {/10.2312/LocalChapterEvents/TPCG/TPCG06/099-104}
}