三维到二维:人脸本征形状描述图

郭哲; 樊养余; 刘姝; 雷涛; 王毅

doi:10.3788/OPE.20142212.3391

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三维到二维:人脸本征形状描述图

信息科学 | 更新时间：2020-08-13

- 三维到二维:人脸本征形状描述图
- 3D to 2D: Facial intrinsic shape description maps
- 光学精密工程 2014年22卷第12期页码：3391-3400
- 作者机构：
  
  西北工业大学电子信息学院,陕西西安,710072
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No.61402371,No.61461025)();陕西省自然科学基础研究计划青年人才资助项目(No.2012JQ8036,No.2013J
- DOI：10.3788/OPE.20142212.3391
  中图分类号： TP391.41
- 收稿日期：2014-07-25，
  
  修回日期：2014-09-11，
  
  纸质出版日期：2014-12-25
- 稿件说明：
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郭哲, 樊养余, 刘姝等. 三维到二维:人脸本征形状描述图[J]. 光学精密工程, 2014,22(12): 3391-3400

GUO Zhe, FAN Yang-yu, LIU Shu etc. 3D to 2D: Facial intrinsic shape description maps[J]. Editorial Office of Optics and Precision Engineering, 2014,22(12): 3391-3400
郭哲, 樊养余, 刘姝等. 三维到二维:人脸本征形状描述图[J]. 光学精密工程, 2014,22(12): 3391-3400 DOI： 10.3788/OPE.20142212.3391.

GUO Zhe, FAN Yang-yu, LIU Shu etc. 3D to 2D: Facial intrinsic shape description maps[J]. Editorial Office of Optics and Precision Engineering, 2014,22(12): 3391-3400 DOI： 10.3788/OPE.20142212.3391.

摘要

基于三维数据的人脸识别克服了二维图像数据受光照和姿态影响较大的问题

但其较高的数据维数约束了它的实际应用.本文针对三维人脸数据的简化描述

提出了将三维人脸映射至二维表示的本征形状描述图方法.该方法首先基于约束离散保形映射将三维人脸数据微分同构映射到一个局部几何特征保持的二维区域.然后基于人脸曲面几何结构特性和表观特性

构建二维本征形状描述图

用于简化对三维人脸数据的描述

并进行识别验证.基于国际公共人脸数据库FRGC2.0和GavabDB的三维人脸识别实验显示

本征形状描述图法在姿态变化大于60°时的识别率达到90.6%

比现有方法高5.9%

单次匹配时间为7.89 s.该方法将三维人脸识别问题转换为了二维平面图像的识别问题

有效降低了数据描述的复杂度.得到的结果展示了该方法计算效率高

且对姿态变化有良好的健壮性.

Abstract

The face recognition based on 3D facial data overcomes the difficulties sensitive to illumination and pose variations in 2D face recognition systems. However

the high computational complexity restricts its practical applications. To simplify the description for 3D face data

a novel strategy to map 3D face data to 2D ones

called 2D intrinsic shape description map

was proposed in this paper. With the strategy

each 3D facial surface was firstly mapped homeomorphically onto a 2D lattice which keeps the local geometrical features based on the constraint discrete conformal. Then

a 2D intrinsic shape description map was obtained by combining 3D facial geometrical structure and appearance feature for simplifying 3D face representation and for verifying the recognition. The proposed strategy was compared to state-of-the-art 3D face recognition algorithms in the FRGC 2.0 and GavabDB database. The results show that the proposed strategy offers the rank-one rate of 90.6% when the pose change is greater than 60°

higher 5.9% than that of the existing method. Moreover

the single matching time is 7.89 s. As the strategy transforms the 3D face recognition into the 2D image recognition

it effectively reduces the complexity of data description and shows higher computation efficiency and robustness to a pose change.

关键词

Keywords

references

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