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Learning to compute the plane of symmetry for human faces

Authors:

Carrie L. Heike,

Linda G. ShapiroAuthors Info & Claims

BCB '11: Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine

Pages 471 - 474

https://doi.org/10.1145/2147805.2147873

Published: 01 August 2011 Publication History

Abstract

Facial symmetry analysis is complex in both computer vision and medicine. This paper presents a method to compute the plane of symmetry for 3D meshes of the human head and face through learning. The two steps of processing include: 1) landmark-related region detection and 2) symmetry plane computation in the learning stage, which uses the landmarks and the standard symmetry planes identified by medical experts for training. Experimental results show that our method performs better than the existing mirror method [1], and is robust to rotation and noise.

References

[1]

M. Benz, X. Laboureux, T. Maier, E. Nkenke, S. Seeger, F. Neukam, and G. Häusler. The symmetry of faces. In Proceedings of Vision, Modeling, and Visualization, G. Girod, H. Niemann, T. Ertl, B. Girod, and H.-P. Seidel, eds.(Akademische Verlagsgesellschaft, 2002), pages 43--50, 2002.

[2]

P. Besl and N. McKay. A method for registration of 3-D shapes. IEEE Transactions on pattern analysis and machine intelligence, pages 239--256, 1992.

Digital Library

[3]

K. Chang, W. Bowyer, and P. Flynn. Multiple nose region matching for 3D face recognition under varying facial expression. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 28(10):1695--1700, 2006.

Digital Library

[4]

M. Fischler and R. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381--395, 1981.

Digital Library

[5]

E. Frank, M. Hall, L. Trigg, G. Holmes, and I. Witten. Data mining in bioinformatics using Weka. Bioinformatics, 20(15):2479, 2004.

Digital Library

[6]

F. Harris. On the use of windows for harmonic analysis with the discrete Fourier transform. Proceedings of the IEEE, 66(1):51--83, 1978.

[7]

J. Hartmann, P. Meyer-Marcotty, M. Benz, G. Häusler, and A. Stellzig-Eisenhauer. Reliability of a method for computing facial symmetry plane and degree of asymmetry based on 3D-data. Journal of Orofacial Orthopedics/Fortschritte der Kieferorthopädie, 68(6):477--490, 2007.

[8]

K. Huang, W. Hong, and Y. Ma. Symmetry-based photo-editing. Pattern Recognition, 38(6):825--834, 2005.

Digital Library

[9]

J. Kolar and E. Salter. Craniofacial anthropometry: Practical measurement of the head and face for clinical, surgical, and research use. CC Thomas, 1997.

[10]

M. Komori, S. Kawamura, and S. Ishihara. Averageness or symmetry: Which is more important for facial attractiveness? Acta psychologica, 131(2):136--142, 2009.

[11]

Y. Liu, K. Schmidt, J. Cohn, and S. Mitra. Facial asymmetry quantification for expression invariant human identification. Computer Vision and Image Understanding, 91(1-2):138--159, 2003.

Digital Library

[12]

G. Loy and J. Eklundh. Detecting symmetry and symmetric constellations of features. Computer Vision--ECCV 2006, pages 508--521, 2006.

Digital Library

[13]

N. Mitra, L. Guibas, and M. Pauly. Symmetrization. In ACM SIGGRAPH 2007 papers, page 63. ACM, 2007.

Digital Library

[14]

M.-M. P, A. GW, G. AB, and S.-E. A. Impact of facial asymmetry in visual perception: a 3-dimensional data analysis. American journal of orthodontics and dentofacial orthopedics, pages 137(2):168.e1--8; discussion 168--9, 2010.

[15]

M. Pauly, N. Mitra, J. Wallner, H. Pottmann, and L. Guibas. Discovering structural regularity in 3D geometry. ACM Transactions on Graphics-TOG, 27(3):43--43, 2008.

Digital Library

[16]

J. Quinlan. C4. 5: programs for machine learning. Morgan Kaufmann, 1993.

Digital Library

[17]

I. Stauber, E. Vairaktaris, A. Holst, M. Schuster, U. Hirschfelder, F. Neukam, and E. Nkenke. Three-dimensional analysis of facial symmetry in cleft lip and palate patients using optical surface data. Journal of Orofacial Orthopedics/Fortschritte der Kieferorthopädie, 69(4):268--282, 2008.

[18]

K. Wilamowska, L. Shapiro, and C. Heike. Classification of 3D face shape in 22q11. 2 deletion syndrome. In Biomedical Imaging: From Nano to Macro, 2009. ISBI'09. IEEE International Symposium on, pages 534--537. IEEE, 2009.

Digital Library

[19]

K. Xu, H. Zhang, A. Tagliasacchi, L. Liu, G. Li, M. Meng, and Y. Xiong. Partial intrinsic reflectional symmetry of 3d shapes. ACM Trans. Graph, 28(5):1--10, 2009.

Digital Library

Cited By

Hong Y(2022)Facial Identity Verification Robust to Pose Variations and Low Image Resolution: Image Comparison Based on Anatomical Facial LandmarksElectronics10.3390/electronics1107106711:7(1067)Online publication date: 28-Mar-2022
https://doi.org/10.3390/electronics11071067
Cicconet MHildebrand DElliott H(2017)Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves: Algorithm and Results2017 IEEE International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW.2017.207(1759-1763)Online publication date: Oct-2017
https://doi.org/10.1109/ICCVW.2017.207
Cicconet MHildebrand DElliott H(2017)Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves2017 IEEE International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW.2017.206(1749-1758)Online publication date: Oct-2017
https://doi.org/10.1109/ICCVW.2017.206
Show More Cited By

Index Terms

Learning to compute the plane of symmetry for human faces
1. Applied computing
  1. Life and medical sciences
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
  2. Machine learning

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Information

Published In

cover image ACM Conferences

BCB '11: Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine

August 2011

688 pages

ISBN:9781450307963

DOI:10.1145/2147805

General Chairs:
Robert Grossman
University of Chicago
,
Andrey Rzhetsky
University of Chicago
,
Program Chairs:
Sun Kim
Indiana University Bloomington and Seoul National University
,
Wei Wang
University of North Carolina at Chapel Hill

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGBio: ACM Special Interest Group on Bioinformatics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2011

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BCB' 11

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SIGBio

BCB' 11: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine

August 1 - 3, 2011

Illinois, Chicago

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Overall Acceptance Rate 254 of 885 submissions, 29%

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Citations

Cited By

Hong Y(2022)Facial Identity Verification Robust to Pose Variations and Low Image Resolution: Image Comparison Based on Anatomical Facial LandmarksElectronics10.3390/electronics1107106711:7(1067)Online publication date: 28-Mar-2022
https://doi.org/10.3390/electronics11071067
Cicconet MHildebrand DElliott H(2017)Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves: Algorithm and Results2017 IEEE International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW.2017.207(1759-1763)Online publication date: Oct-2017
https://doi.org/10.1109/ICCVW.2017.207
Cicconet MHildebrand DElliott H(2017)Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves2017 IEEE International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW.2017.206(1749-1758)Online publication date: Oct-2017
https://doi.org/10.1109/ICCVW.2017.206
Wu JHeike CBirgfeld CEvans KMaga MMorrison CSaltzman BShapiro LTse R(2016)Measuring Symmetry in Children with Unrepaired Cleft Lip: Defining a Standard for the Three-Dimensional Midfacial Reference PlaneThe Cleft Palate Craniofacial Journal10.1597/15-05353:6(695-704)Online publication date: 1-Nov-2016
https://doi.org/10.1597/15-053
Mercan EAtmosukarto IWu JLiang SShapiro L(2015)Craniofacial Image AnalysisHealth Monitoring and Personalized Feedback using Multimedia Data10.1007/978-3-319-17963-6_2(9-29)Online publication date: 2015
https://doi.org/10.1007/978-3-319-17963-6_2
Wu JTse RShapiro L(2014)Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh DataProceedings of the 2014 22nd International Conference on Pattern Recognition10.1109/ICPR.2014.88(460-464)Online publication date: 24-Aug-2014
https://dl.acm.org/doi/10.1109/ICPR.2014.88
Jia Wu Tse RShapiro L(2014)Automated face extraction and normalization of 3D Mesh Data2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/EMBC.2014.6943699(750-753)Online publication date: Aug-2014
https://doi.org/10.1109/EMBC.2014.6943699
Shapiro LBriasouli ABenois-Pineau JHauptmann A(2013)Image analysis for biomedical and healthcare applicationsProceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare10.1145/2505323.2505324(1-2)Online publication date: 22-Oct-2013
https://dl.acm.org/doi/10.1145/2505323.2505324

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