Patrik Goorts

Bringing 3D vision to the web: Acquiring motion parallax using commodity cameras and WebGL

Details

Authors: Patrik Goorts, Steven Maesen, Dimitri Scarlino, Philippe Bekaert

Language: English

Year: 2013

Journal: Proceedings of the International Conference on 3D Imaging (IC3D 2013)

Link: http://patrikgoorts.com/Publications/goorts2013bringing.pdf

Link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6732092

Images

Bibtex

@inproceedings{goorts2013bringing,
	title={Bringing 3D vision to the web: Acquiring motion parallax using commodity cameras and WebGL},
	author={Goorts, P. and Maesen, S. and Scarlino, D. and Bekaert, P.},
	booktitle={Proceedings of the International Conference on 3D Imaging (IC3D 2013)},
	year={2013},
	organization={IEEE}
}

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.