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19 March 2004 Automatic 3D facial model reconstruction from single front-view image
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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