基于人脸标准化的纹理和光照保持3D人脸重构

现有人脸纹理重建方法对于人脸的皱纹、胡须、瞳孔颜色等重建效果往往不够细致.为了解决此问题,文中提出基于人脸标准化的纹理和光照保持3D人脸重构.首先对 2D 人脸图像标准化,使用光照信息和对称纹理重构人脸自遮挡区域的纹理.然后依据 2D-3D点对应关系从标准化的 2D 人脸图像获取相应的3D人脸纹理,结合人脸形状重构和纹理信息,得到最终的 3D人脸重构结果.实验表明文中方法有效保留原始2D图像的纹理和光照信息,重构的人脸更自然,具有更丰富的人脸细节.

Texture and Illumination Preserving 3D Face Reconstruction Based on Face Normalization

The results of the existing texture recovery methods are not detailed enough for the face features such as wrinkles, beards and pupil colors. Therefore, the texture and illumination preserving 3D face reconstruction based on face normalization is proposed. Firstly, the 2D facial image is normalized to reconstruct the self-occlusion area using illumination information and symmetric texture. Then, the corresponding 3D face texture is obtained by the normalized 2D image according to the 2D-3D point pairs. Finally, combining the face shape reconstruction and texture information, the final 3D face reconstruction results are generated. The experimental results show that the proposed method preserves the texture and the illumination information of the original 2D image effectively, and the reconstructed faces are more natural with more facial details.