DocumentCode :
679997
Title :
Bringing 3D vision to the web: Acquiring motion parallax using commodity cameras and WebGL
Author :
Goorts, Patrik ; Maesen, Steven ; Scarlino, Dimitri ; Bekaert, Philippe
Author_Institution :
Expertise Centre for Digital Media, Hasselt Univ. - tUL - iMinds, Diepenbeek, Belgium
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we present a system to acquire 3D vision by motion parallax on web-based platforms using head tracking. We employ the camshift algorithm to perform color-based head tracking. Using the position of the head, we can render a 3D scene from the viewpoint of the viewer, thus acquiring motion parallax, a strong cue for 3D vision. We employed web technologies to allow the adoption of our method to any modern device, including mobile devices. WebGL is used for rendering and head tracking, and WebRTC is used for camera input. No software installation or plugins are required. We demonstrated the effectiveness of our method on a variety of devices, such as desktop computers, laptops, and tablets.
Keywords :
computer vision; image colour analysis; image motion analysis; object tracking; 3D vision; Web technologies; WebGL; WebRTC; camshift algorithm; color-based head tracking; commodity cameras; motion parallax; Cameras; Face; Image color analysis; Three-dimensional displays; Tracking; Visualization; 3D Vision; Camshift; Head Tracking; Motion Parallax; WebGL; WebRTC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3D Imaging (IC3D), 2013 International Conference on
Conference_Location :
Lie??ge
Type :
conf
DOI :
10.1109/IC3D.2013.6732092
Filename :
6732092
Link To Document :
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