Realistic 3D facial animation using parameter-based deformation and texture remapping

Hajime Sato; Jun Ohya; Nobuyoshi Terashima

doi:10.1109/AFGR.2004.1301622

Realistic 3D facial animation using parameter-based deformation and texture remapping

Hajime Sato, Jun Ohya, Nobuyoshi Terashima

School of Creative Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

A method for constructing 3D human facial images which maintains the characteristics of video input image is proposed. First, a personalized 3D polygonal facial model is constructed from two orthogonal facial images. Video input frames are modified, and the vertices composing the 3D polygons are altered according to the contraction rule of facial muscles. Moreover, the modified input frame is texture mapped directly onto to the forementioned model to improve the quality of the reconstructed image. This method was implemented onto an ordinary PC, and an experiment using five persons' face data showed the effectiveness of the method both quantitatively and subjectively.

Original language	English
Title of host publication	Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Pages	735-742
Number of pages	8
DOIs	https://doi.org/10.1109/AFGR.2004.1301622
Publication status	Published - 2004 Sep 24
Event	Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul, Korea, Republic of Duration: 2004 May 17 → 2004 May 19

Publication series

Name	Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Conference

Conference	Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Country	Korea, Republic of
City	Seoul
Period	04/5/17 → 04/5/19

ASJC Scopus subject areas

Engineering(all)

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10.1109/AFGR.2004.1301622

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Sato, H., Ohya, J., & Terashima, N. (2004). Realistic 3D facial animation using parameter-based deformation and texture remapping. In Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 (pp. 735-742). (Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition). https://doi.org/10.1109/AFGR.2004.1301622

Realistic 3D facial animation using parameter-based deformation and texture remapping. / Sato, Hajime; Ohya, Jun; Terashima, Nobuyoshi.

Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004. 2004. p. 735-742 (Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sato, H, Ohya, J & Terashima, N 2004, Realistic 3D facial animation using parameter-based deformation and texture remapping. in Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004. Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 735-742, Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004, Seoul, Korea, Republic of, 04/5/17. https://doi.org/10.1109/AFGR.2004.1301622

Sato H, Ohya J, Terashima N. Realistic 3D facial animation using parameter-based deformation and texture remapping. In Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004. 2004. p. 735-742. (Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition). https://doi.org/10.1109/AFGR.2004.1301622

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AB - A method for constructing 3D human facial images which maintains the characteristics of video input image is proposed. First, a personalized 3D polygonal facial model is constructed from two orthogonal facial images. Video input frames are modified, and the vertices composing the 3D polygons are altered according to the contraction rule of facial muscles. Moreover, the modified input frame is texture mapped directly onto to the forementioned model to improve the quality of the reconstructed image. This method was implemented onto an ordinary PC, and an experiment using five persons' face data showed the effectiveness of the method both quantitatively and subjectively.

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Realistic 3D facial animation using parameter-based deformation and texture remapping

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