3D facial similarity comparison in shape space

ZHAO Jun-li; WU Zhong-ke; LIU Cui-ting; DUAN Fu-qing; ZHOU Ming-quan; CAO Jia-yi

doi:10.3788/OPE.20152304.1138

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3D facial similarity comparison in shape space

更新时间：2020-08-13

- 3D facial similarity comparison in shape space
- Optics and Precision Engineering Vol. 23, Issue 4, Pages: 1138-1145(2015)
- 作者机构：
  
  1. 青岛大学软件技术学院,山东青岛,266071
  2. 北京师范大学信息科学与技术学院虚拟现实应用教育部工程研究中心北京,100875
  3. 天津中医药大学中药学院天津,300193
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152304.1138
  CLC： TP391.41
- Received：28 November 2014，
  
  Revised：20 January 2015，
  
  Published：25 April 2015
- 稿件说明：
移动端阅览
赵俊莉, 武仲科, 刘翠婷等. 形状空间下的3D面貌相似性比较[J]. 光学精密工程, 2015,23(4): 1138-1145

ZHAO Jun-li, WU Zhong-ke, LIU Cui-ting etc. 3D facial similarity comparison in shape space[J]. Editorial Office of Optics and Precision Engineering, 2015,23(4): 1138-1145
赵俊莉, 武仲科, 刘翠婷等. 形状空间下的3D面貌相似性比较[J]. 光学精密工程, 2015,23(4): 1138-1145 DOI： 10.3788/OPE.20152304.1138.

ZHAO Jun-li, WU Zhong-ke, LIU Cui-ting etc. 3D facial similarity comparison in shape space[J]. Editorial Office of Optics and Precision Engineering, 2015,23(4): 1138-1145 DOI： 10.3788/OPE.20152304.1138.

摘要

开展了利用计算机自动比较两个3D面貌相似程度的研究。提出了一种在形状空间下基于测地线的3D面貌相似性比较的方法。该方法使用测地线近似表示3D面貌模型

然后将其变换到形状空间下

以对应测地线的平均测地距离作为两个3D面貌的相似性比较的依据。在公开的GAVADB三维面貌库上对14个人的28个3D面貌模型进行了实验

识别率达到92.86%以上

说明本方法可以将同一个人的不同模型与不同人的模型区分开。另外

使用提出的方法对不同人的3D面貌模型进行了相似性比较实验

结果表明使用本方法得出的相似程度的判断与人的主观判断相一致

说明本方法能够较好地反应3D面貌的相似程度。

Abstract

This paper focuses on the 3D facial similarity comparison by using a computer automatically. A new 3D facial similarity comparison method based on a geodesics in a shape space was proposed. In this method

3D facial surface was approximately represented by a set of geodesics and the corresponding geodesics between two facial models were compared by a elastic metric in the shape space

in which the similarity between two faces could be measured by the average geodesic distance of all corresponding geodesics. 3D facial similarity experiments were perfomed on 28 facial models of 14 persons in Gavadb database and the recognition rate is above 92.86%

which indicates that this method recognizes the facial models of the same person from different person's facial models. In addition

3D facial similarity experiments on different person's facial models were implemented. The experimental results show that the similarity values computed by proposed method consist with that of people's subjective judgment. These results reflect that the proposed method can measure the similarity of 3D faces well.

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references

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ZHAO J, LIU C, WU Z, ET AL. 3D facial similarity measure based on geodesic network and curvatures [J]. Mathematical Problems in Engineering, 2014, 2014(2014), Article ID 832837, 17 pages, doi:10.1155/2014/832837.

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