Augmented Reality with Multilayer Occlusion

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Date
2006
Journal Title
Journal ISSN
Volume Title
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
} }
Citation