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Proceedings Paper

Divert visual angle through eyeball recognition
Author(s): Cao Qi; Yi Qiao; Yuan Cheng; Honglu Cui; Li Sun
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Paper Abstract

Thanks to the development of network, video devices are used in various aspects of our lives such as video conference, video call, etc. It is, however, very common that people tend to look at the computer screen instead of the video capture device, which can affect the communication. We present a novel approach to solve this problem. Through estimating the divert head angle and eyeball location recognition, we can estimate the visual angle. By moving the eyeball to adjust visual line, it looks like that we're looking at each other. Our work is on the basis of face alignment and there is a geometric 3D model and novel R -α, K -β relationship analysis methods adopted in this paper.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74962L (30 October 2009); doi: 10.1117/12.833708
Show Author Affiliations
Cao Qi, Donghua Univ. (China)
Yi Qiao, Donghua Univ. (China)
Yuan Cheng, Tongji Univ. (China)
Honglu Cui, Shanghai Jiao Tong Univ. (China)
Li Sun, Donghua Univ. (China)

Published in SPIE Proceedings Vol. 7496:
MIPPR 2009: Pattern Recognition and Computer Vision
Mingyue Ding; Bir Bhanu; Friedrich M. Wahl; Jonathan Roberts, Editor(s)

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