Constructing 3D facial hierarchical structure based on surface measurements

被引：0
作者：
Chenlei Lv
Zhongke Wu
Xingce Wang
Mingquan Zhou
机构：
[1] Beijing Normal University,College of Information Science and Technology
[2] Beijing Normal University,Engineering Research Center of Virtual Reality and Applications, Ministry of Education, Beijing Key Laboratory of Digital Preservation and Virtual Reality for Cultural Heritage
来源：
Multimedia Tools and Applications | 2019年 / 78卷
关键词：
3D facial hierarchical structures; Conformal parametrization; Facial data organization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we propose a novel framework for 3D facial similarity measures and facial data organization. The 3D facial similarity measures of our method are based on iso-geodesic stripes and conformal parameterization. Using the conformal parameterization, the 3D facial surface can be mapped into a 2D domain and the iso-geodesic stripes of the face can be measured. The measure results can be regarded as the similarity of faces, which is robust to head poses and facial expressions. Based on the measure result, a hierarchical structure of faces can be constructed, which is used to organize different faces. The structure can be utilized to accelerate the face searching speed in a large database. In experiment, we construct the hierarchical structures from two public facial databases: Gavab and Texas3D. The searching speed based on the structure can be increased by 4-6 times without accuracy loss of recognition.
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页码：14753 / 14776
页数：23
相关论文
共 108 条
  • [1] Ahdid R(2015)Three Dimensional Face Surfaces Analysis using Geodesic Distance J Comput Sci Appl [J] 3 67-72
  • [2] Safi S(2016)Apparent age estimation from face images combining general and Children-Specialized deep learning models IEEE Conference on Computer Vision and Pattern Recognition Workshops [C] 1 801-809
  • [3] Manaut B(2003)Weighted walkthroughs between extended entities for retrieval by spatial arrangement IEEE Trans Multimed [J] 5 52-70
  • [4] Antipov G(2010)3D face recognition using iso-geodesic stripes IEEE Trans Pattern Anal Mach Intell [J] 32 2162-2177
  • [5] Baccouche M(2012)Distinguishing facial features for ethnicity-based 3d face recognition ACM Trans Intell Syst Technol [J] 3 45-1074
  • [6] Berrani SA(2003)Face recognition based on fitting a 3D morphable model IEEE Trans Pattern Anal Mach Intell (IEEE TPAMI) [J] 25 1063-30
  • [7] Dugelay JL(2005)Three dimensional face recognition Int J Comput Vis [J] 64 5-197
  • [8] Berretti S(2006)Expression-invariant representations of faces IEEE Trans Image Process [J] 16 188-425
  • [9] Bimbo D(2014)Facewarehouse: A 3D Facial Expression Database for Visual Computing IEEE Trans Vis Comput Graph [J] 20 413-1281
  • [10] Vicario E(2011)Age estimation using a hierarchical classifier based on global and local facial features Pattern Recogn [J] 44 1262-580
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