Automatic 3D facial model reconstruction from single front-view image

Yanchao Xing; Chunxia Guo; Zheng Tan

doi:10.1117/12.561234

19 March 2004 Automatic 3D facial model reconstruction from single front-view image

Yanchao Xing, Chunxia Guo, Zheng Tan

Proceedings Volume 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry; (2004) https://doi.org/10.1117/12.561234
Event: Fourth International Conference On Virtual Reality and Its Applications in Industry, 2003, Tianjin, China

Abstract

A novel algorithm for automatic 3D facial model reconstruction form a single front-view facial image is presented. First, face and facial features are located. Then feature point depths are estimated from frontal facial measurements through multi-variant linear regression. With these feature points, the generic face model is individualized by volume morphing with a novel Radial Basis Function-based interpolation. Finally, the texture map is generated through cylindrical mapping. Experiments show that the reconstructed model has satisfying visual effects for a broad pose range. Compared with the multi-view based facial model reconstruction, this algorithm is fast, easy to use, fully automatic and has low requirement in hardware, so it has great potential for many practical applications.

Citation Download Citation

Yanchao Xing, Chunxia Guo, and Zheng Tan "Automatic 3D facial model reconstruction from single front-view image", Proc. SPIE 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry, (19 March 2004); https://doi.org/10.1117/12.561234

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