Symmetry and Beauty of Human Faces
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Reference
Teresa Breyer: Symmetry and Beauty of Human Faces. In: Bridges 2000. Pages 339–346
DOI
Abstract
In this project.we study the correlation between symmetry and attractiveness of faces through statistical pattern recognition and neural networks. We design an intelligent agent that learns to use a given set of standards to distinguish between beautiful and ordinary faces: We represent the faces as feature vectors in a vector space in order to measure the degree of symmetry. To implement a larger data set, we use 2-dimensional wavelet representation to improve the performance.
Extended Abstract
Bibtex
Used References
[1] Rotem Kowner, Facial Asymmetry and Attractiveness Judgment in Developmental Perspective, Journal of Experimental Psychology: Human Perception and Performance, Vol. 22, No.3, pp. 662-675. 1996.
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[3]Lay, Linear Algebra, Chapter 8: Symmetric Matrices and Quadratic Forms, Addison-Wesley. 1997.
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[5]Yves Nievergelt, Wavelets Made Easy, Birkhaeuser, 1999.
[6]R. Todd Ogden, Essential Wavelets for Statistical Applications and Data Analysis, Birkhaeuser, 1997:
[7]David Beymer, Tomaso Poggio, Image Representations for Visual Learning, Science, Vol. 272, pp. 1905- 1909. 1996.
[8]K. Grammer, R.Thornhill, Human facial attractiveness and sexual selection: The role of averageness and Symmetry, Journal of Comparative Psychology, Vol. 108, pp. 233-242. 1994.
[9]F. J. Galton, Composiie portraits, Nature, Vol. 18, pp. 97-100. 1878
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Full Text
http://archive.bridgesmathart.org/2000/bridges2000-339.pdf
