基于人脸标准化的纹理和光照保持3D人脸重构

doi:10.16451/j.cnki.issn1003-6059.201906008

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Abstract

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.

Key words： 3D Morphable Model 3D Face Reconstruction Face Normalization Illumination Model

Received: 06 March 2019

ZTFLH:

TP 391.4

About author:: (YANG Yu, master student. His research interests include computer vision, 3D face reconstruction and deep learning.)(WU Xiaojun(Corresponding author), Ph.D., professor. His research interests include artificial intelligence, pattern recognition and computer vision.)

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Cite this article:

YANG Yu,WU Xiaojun. Texture and Illumination Preserving 3D Face Reconstruction Based on Face Normalization[J]. , 2019, 32(6): 557-568.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201906008 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2019/V32/I6/557

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