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