基于肤色模型的三维人脸重建
3D face reconstruction based on skin color model
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摘要: 针对三维人脸重建时侧面角度的纹理缺失问题,提出了一种基于肤色模型的三维人脸重建方法.该方法利用改进的ASM方法自动提取特征点,通过平面投影和线性组合获取照片对应的深度三维几何信息,将TPS算法变形得到特定三维人脸模型;将RGB空间与YUV空间和YIQ空间进行转换以判定肤色点,通过Gamma矫正侧面角度特征点使其有效落在肤色区域内;最后依据矫正后的肤色点进行纹理映射.实验证明,该方法只用单幅非绝对正面照片即可实现较高真实感的三维人脸重建,并可有效改善侧面纹理缺失的情况.Abstract: In order to reduce the deficiencies of texture in the procession of 3D face reconstruction,a 3D face reconstruction approach based on skin color model was proposed.First,this method uses the improved ASM to get facial feature and obtains the depth 3D geometric information by planar projection and liner combination and achieves a specific face model by using TPS algorithm.Then,it converts RGB space to YUV and YIQ space in order to judge which feature point was shin color point.The skin color point was effectively located in skin color area through rectifing side angle feature points.Finally,texture mapping after correction was made according to shin color points.The experiment results showed that this approach could realize high realistic 3D face reconstruction only by using single not absolutely positive pictures,and improve texture missing.
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Key words:
- 3D face reconstruction /
- skin color model /
- space conversion /
- Gamma transform
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