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Multi-user live video in a shared virtual world for enhanced group collaboration

Title
Multi-user live video in a shared virtual world for enhanced group collaboration
Authors
Rhee S.-M.Park J.Kim M.-H.
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
2006
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743JCR Link
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 3942 LNCS, pp. 1131 - 1140
Indexed
SCOPUS WOS scopus
Document Type
Conference Paper
Abstract
We present a novel method for merging ft live video stream of multiple users into a shared virtual world in a large VR display environment. Collaborators at a remote site can be displayed in a virtual world as video textures to support visual communication more efficiently. To generate the video texture of a user in a dynamic background environment such as a CAVE™-like system, we use a camera pair which consists of two gray-scale cameras with band-pass filters, and two color cameras. The gray-scale cameras capture infrared images in which the dynamic background on the screen is eliminated, having only the infrared light reflected by the person. This makes it easy to extract the user's silhouette robustly. Using projection histogram we found rough position of the all users' head in the image. We can then find exact corresponding points using cross-correlation between two user silhouette images to determine the 3D position of each user. The extracted user silhouette is warped by rectification and translated to fit into a color image. We can now generate a video texture of the user by masking the background of the user in the color image. Each video texture is then transmitted to a remote site arid displayed on a billboard in virtual space. © Springer-Verlag Berlin Heidelberg 2006.
DOI
10.1007/11736639_143
ISBN
3540334238

9783540334231
Appears in Collections:
인공지능대학 > 컴퓨터공학과 > Journal papers
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