Citation: | GAN Junying, ZHAI Yikui, WANG Bin, “Unconstrained Facial Beauty Prediction Based on Multi-scale K-Means,” Chinese Journal of Electronics, vol. 26, no. 3, pp. 548-556, 2017, doi: 10.1049/cje.2016.10.020 |
D. Zhang, Q. Zhao and F. Chen, "Quantitative analysis of human facial beauty using geometric features", Pattern Recognition, Vol.44, No.4, pp.940-950, 2011.
|
A. Kagian, G. Dror, T. Leyvand, et al., "A machine learning predictor of facial attractiveness revealing human-like psychophysical biases", Vision Research, Vol.48, No.2, pp.235-243, 2008.
|
C.D. Green, "All that glitters:A review of psychological research on the aesthetics of the golden section", PerceptionLondon, Vol.24, pp.937-937, 1995.
|
P.M. Pallett, S. Link, et al., "New "golden" ratios for facial beauty", Vision Research, Vol.50, No.2, pp.149-154, 2010.
|
H.Ï. Türkmen, Z. Kurt, et al., "Global feature based female facial beauty decision system", 15th European Signal Processing Conference (EUSIPCO 2007), Poznan, Poland, pp.1945-1949, 2007.
|
J. Gan, L. Li, Y. Zhai, et al., "Deep self-taught learning for facial beauty prediction", Neurocomputing, Vol.144, pp.295-303, 2014.
|
D. Gray, K. Yu, W. Xu, et al., "Predicting facial beauty without landmarks", European Conference on Computer Vision (ECCV 2010), Springer Berlin Heidelberg, pp.434-447, 2010.
|
Y. Eisenthal, G. Dror and E. Ruppin, "Facial beauty:Beauty and the machine", Neural Computation, Vol.18, No.1, pp.119-142, 2006.
|
J. Wang, Y. Gong and D. Gray, "Female facial beauty attribute recognition and editing", Human-Centered Social Media Analytics, Springer International Publishing, pp.133-148, 2014.
|
A. Coates, A.Y. Ng and H. Lee, "An analysis of single-layer networks in unsupervised feature learning", International Conference on Artificial Intelligence and Statistics, pp.215-223, 2011.
|
M. Weber, et al., "Unsupervised learning of models for recognition", Eccv 2000, LNCS, Springer Berlin Heidelberg, Vol.1842, pp.18-32, 2000.
|
Y. Mu, "Computational facial attractiveness prediction by aesthetics-aware features", Neurocomputing, Vol.99, pp.59-64, 2013.
|
H. Yan, "Cost-sensitive ordinal regression for fully automatic facial beauty assessment", Neurocomputing, Vol.129, pp.334-342, 2014.
|
A. Laurentini and A. Bottino, "Computer analysis of face beauty:A survey", Computer Vision and Image Understanding, Vol.125, pp.184-199, 2014.
|
K. Schmid, D. Marx and A. Samal, "Computation of a face beauty index based on neoclassical canons, symmetry, and golden ratios", Pattern Recognition, Vol.41, No.8, pp.2710-2717, 2008.
|
H. Gunes and M. Piccardi, "Assessing facial beauty through proportion analysis by image processing and supervised learning", International Journal of Human-Computer Studies, Vol.64, No.12, pp.1184-1199, 2006.
|
P. Viola and M.J. Jones, "Robust real-time face detection", International Journal of Computer Vision, Vol.57, No.2, pp.137-154, 2004.
|
L.G. Farkas and I.R. Munro, Anthropometric Facial Proportions in Medicine, Charles C. Thomas Publisher, Springfield Iuinois USA, 1987.
|
J. Bekios-Calfa, J.M. Buenaposada and L. Baumela, "Revisiting linear discriminant techniques in gender recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.33, No.4, pp.858-864, 2011.
|
K. Kościński, "Current status and future directions of research on facial attractiveness", Anthropological Review, Vol.72, No.1, pp.45-65, 2009.
|
M.R. Cunningham, A.R. Roberts, A.P. Barbee, et al., "‘Their ideas of beauty are, on the whole, the same as ours’:Consistency and variability in the cross-cultural perception of female physical attractiveness", Journal of Personality and Social Psychology, Vol.68, No.2, pp.261, 1995.
|
D.I. Perrett, K.J. Lee, I. Penton-Voak, et al., "Effects of sexual dimorphism on facial attractiveness", Nature, Vol.394, No.6696, pp.884-887, 1998.
|
H. Knight and O. Keith, "Ranking facial attractiveness", The European Journal of Orthodontics, Vol.27, No.4, pp.340-348, 2005.
|
J.C. Van Gemert, J.M. Geusebroek, C.J. Veenman, et al., "Kernel codebooks for scene categorization", Computer Vision-ECCV 2008, Springer Berlin Heidelberg, pp.696-709, 2008.
|
A. Coates and A.Y. Ng, "Learning feature representations with k-means", Neural Networks:Tricks of the Trade, Springer Berlin Heidelberg, pp.561-580, 2012.
|
H. Lee, R. Grosse, R. Ranganath, et al., "Unsupervised learning of hierarchical representations with convolutional deep belief networks", Communications of the ACM, Vol.54, No.10, pp.95-103, 2011.
|
M.D. Zeiler, D. Krishnan, G.W. Taylor, et al., "Deconvolutional networks", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2528-2535, 2010.
|
J. Liu, J.P. Du and X.R. Wang, "Research on the robust image representation scheme for natural scene categorization", Chinese Journal of Electronics, Vol.22, No.2, pp.341-346, 2013.
|
T.M. Mitchell, Machine Learning, McGraw Hill, Burr Ridge, IL, USA 1997.
|
Powers and M.W. David, "Evaluation:From precision, recall and F-factor to ROC, informedness, markedness & correlation", Journal of Machine Learning Technologies, Vol.2, No.1, pp.37-63, 2007.
|
C.-C. Chang and C.-J. Lin, "LIBSVM:A library for support vector machines", ACM Transactions on Intelligent Systems and Technology (TIST), Vol.2, No.3, Article No.27, 2011.
|
R.L. Lang, X.L. Deng and F. Gao, "The heuristic algorithms for selecting the parameters of support vector machine for classification", Chinese Journal of Electronics, Vol.21, No.3, pp.485-488, 2012.
|