Research on 3D Face Recognition Based on Pose and Illumination Invariant

被引：24

作者：

Yi, Zhang ^{[1
]}

Yuan, Zhou ^{[2
]}

机构：

[1] Lanzhou Inst Technol, Coll Software Engn, Lanzhou 730050, Gansu, Peoples R China

[2] Lanzhou Jiaotong Univ, Sch Chem & Biol Engn, Lanzhou 730070, Gansu, Peoples R China

来源：

PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS AND DIGITAL IMAGE PROCESSING (CGDIP 2017) | 2017年

关键词：

3D face recognition; pose; illumination; spherical harmonic; ratio image;

D O I：

10.1145/3110224.3110230

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In order to solve the problem of error rate caused by pose and illumination variation, the sparse statistical deformable model is used to reconstruct the 3D face shape. By using the method of spherical harmonic quotient image, estimation of the original input image light properties, the generated model standardized posture and illumination reconstruction, the original input image due to pose and illumination recognition error caused by the different solution. Experimental results show that the proposed method can effectively improve the recognition rate of 3D face.

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