Measuring asymmetry from high-density 3D surface scans: An application to human faces

被引:31
作者
Ekrami, Omid [1 ]
Claes, Peter [2 ]
White, Julie D. [3 ]
Zaidi, Arslan A. [3 ]
Shriver, Mark D. [3 ]
Van Dongen, Stefan [1 ]
机构
[1] Univ Antwerp, Dept Biol, Evolutionary Ecol Grp, Antwerp, Belgium
[2] Katholieke Univ Leuven, MIRC, Dept Elect Engn ESAT, Fac Engn, Leuven, Belgium
[3] Penn State Univ, Dept Anthropol, University Pk, PA 16802 USA
来源
PLOS ONE | 2018年 / 13卷 / 12期
基金
美国国家卫生研究院;
关键词
FLUCTUATING ASYMMETRY; FACIAL ASYMMETRY; SYMMETRY; REGISTRATION; MODELS; SEX;
D O I
10.1371/journal.pone.0207895
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Perfect bilateral symmetry is the optimal outcome of the development of bilateral traits in the absence of developmental perturbations. Any random perturbation in this perfect symmetrical state is called Fluctuating Asymmetry (FA). Many studies have been conducted on FA as an indicator of Developmental Instability (DI) and its possible link with stress and individual quality in general and with attractiveness, health and level of masculinity or femininity in humans. Most human studies of facial asymmetry use 2D pictures and a limited number of landmarks. We developed a protocol to utilize high-density 3D scans of human faces to measure the level of asymmetry. A completely symmetric spatially dense anthropometric mask with paired vertices is non-rigidly mapped on target faces using an Iterative Closest Point (ICP) registration algorithm. A set of 19 manually indicated landmarks were used to validate the mapping precision. The protocol's accuracy in FA calculation is assessed, and results show that a spatially dense approach is more accurate. In addition, it generates an integrated asymmetry estimate across the entire face. Finally, the automatic nature of the protocol provides a great advantage by omitting the tedious step of manual landmark indication on the biological structure of interest.
引用
收藏
页数:17
相关论文
共 46 条
  • [1] Precision and error of three-dimensional phenotypic measures acquired from 3dMD photogrammetric images
    Aldridge, K
    Boyadjiev, SA
    Capone, GT
    DeLeon, VB
    Richtsmeier, JT
    [J]. AMERICAN JOURNAL OF MEDICAL GENETICS PART A, 2005, 138A (03) : 247 - 253
  • [2] Comparison between landmark and surface-based three-dimensional analyses of facial asymmetry in adults
    Alqattan, M.
    Djordjevic, J.
    Zhurov, A. I.
    Richmond, S.
    [J]. EUROPEAN JOURNAL OF ORTHODONTICS, 2015, 37 (01) : 1 - 12
  • [3] Amberg Brian, 2007, CVPR '07. IEEE Conference on Computer Vision and Pattern Recognition, P1
  • [4] LEAST-SQUARES FITTING OF 2 3-D POINT SETS
    ARUN, KS
    HUANG, TS
    BLOSTEIN, SD
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1987, 9 (05) : 699 - 700
  • [5] Bellekens B., 2014, AMBIENT 2014 4 INT C, P8
  • [6] A METHOD FOR REGISTRATION OF 3-D SHAPES
    BESL, PJ
    MCKAY, ND
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (02) : 239 - 256
  • [7] Bottema O., 1982, Crux Mathematicorum, V8, P228
  • [8] Bro-Nielsen M, 1997, IMMPHD199625 TU DENM
  • [9] Fluctuating asymmetry and preferences for sex-typical bodily characteristics
    Brown, William M.
    Price, Michael E.
    Kang, Jinsheng
    Pound, Nicholas
    Zhao, Yue
    Yu, Hui
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (35) : 12938 - 12943
  • [10] Charnov Eric L., 1993, P1