Face Tracking for Multi-view Display System 


Vol. 30,  No. 2, pp. 16-24, Feb.  2005


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  Abstract

In this paper, we proposed a face tracking algorithm for a viewpoint adaptive multi-view synthesis system. The original scene captured by a depth camera contains a texture image and 8 bit gray-scale depth map. From this original image, multi-view images can be synthesized which correspond to viewer's position by using geometrical transformation such as a rotation and a translation. The proposed face tracking technique gives a motion parallax cue by different viewpoints and view angles. In the proposed algorithm, tracking of viewer's dominant face initially established from camera by using statistical characteristics of face colors and deformable templates is done. As a result, we can provide motion parallax cue by detecting viewer's dominant face area and tracking it even under a heterogeneous background and can successfully display the synthesized sequences.

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  Cite this article

[IEEE Style]

C. Han, S. Jang, J. Bae, J. Yoo, "Face Tracking for Multi-view Display System," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 2, pp. 16-24, 2005. DOI: .

[ACM Style]

Chung-shin Han, Se-hoon Jang, Jin-woo Bae, and Ji-sang Yoo. 2005. Face Tracking for Multi-view Display System. The Journal of Korean Institute of Communications and Information Sciences, 30, 2, (2005), 16-24. DOI: .

[KICS Style]

Chung-shin Han, Se-hoon Jang, Jin-woo Bae, Ji-sang Yoo, "Face Tracking for Multi-view Display System," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 2, pp. 16-24, 2. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880