Research article

Quantitative analysis of facial proportions and facial attractiveness among Asians and Caucasians

  • Received: 20 November 2021 Revised: 26 February 2022 Accepted: 30 March 2022 Published: 22 April 2022
  • It has been proposed that the proportions of the human face are crucial for facial aesthetics. If this is the case, we should describe the relationship among proportions of face components quantitatively. This study aims to develop a mathematical model of facial proportions to provide a quantitative description of facial attractiveness. Furthermore, we expect that plastic surgeons can use models in clinical work to enhance communication efficiency between doctors and patients. Face alignment technique was used to analyse 5500 frontal faces with diverse properties (male/female, Asian/Caucasian, ages) to obtain the ratios among the nose length ($ {N}_{L} $), the nasal base width ($ N $), and the inner canthus width ($ {E}_{I} $). A mathematical model ($ {N}_{L}^{2} = a{E}_{I}\mathrm{*}{N}_{L}+b{E}_{I}\mathrm{*}N+cN\mathrm{*}{N}_{L} $) was developed to describe the relationship among these proportions. To validate the effectiveness of this approach, we simulated the post-operative photos using Adobe Photoshop. Our findings show that the ratio of nose length to nose width, the ratio of inner canthus width to nose length and the ratio of inner canthus to nose width play a significant role in determining facial attractiveness. These results provide a possible strategy to quantitatively describe the relationship among human face proportions.

    Citation: Shikang Zheng, Kai Chen, Xinping Lin, Shiqian Liu, Jie Han, Guomin Wu. Quantitative analysis of facial proportions and facial attractiveness among Asians and Caucasians[J]. Mathematical Biosciences and Engineering, 2022, 19(6): 6379-6395. doi: 10.3934/mbe.2022299

    Related Papers:

  • It has been proposed that the proportions of the human face are crucial for facial aesthetics. If this is the case, we should describe the relationship among proportions of face components quantitatively. This study aims to develop a mathematical model of facial proportions to provide a quantitative description of facial attractiveness. Furthermore, we expect that plastic surgeons can use models in clinical work to enhance communication efficiency between doctors and patients. Face alignment technique was used to analyse 5500 frontal faces with diverse properties (male/female, Asian/Caucasian, ages) to obtain the ratios among the nose length ($ {N}_{L} $), the nasal base width ($ N $), and the inner canthus width ($ {E}_{I} $). A mathematical model ($ {N}_{L}^{2} = a{E}_{I}\mathrm{*}{N}_{L}+b{E}_{I}\mathrm{*}N+cN\mathrm{*}{N}_{L} $) was developed to describe the relationship among these proportions. To validate the effectiveness of this approach, we simulated the post-operative photos using Adobe Photoshop. Our findings show that the ratio of nose length to nose width, the ratio of inner canthus width to nose length and the ratio of inner canthus to nose width play a significant role in determining facial attractiveness. These results provide a possible strategy to quantitatively describe the relationship among human face proportions.



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    [1] D. W. Zaidel, S. M. Aarde, K. Baig, Appearance of symmetry, beauty, and health in human faces, Brain Cogn., 57 (2005), 261–263. https://doi.org/10.1016/j.bandc.2004.08.056 doi: 10.1016/j.bandc.2004.08.056
    [2] S. H. Mares, R. N. de Leeuw, R. H. Scholte, R. C. Engels, Facial attractiveness and self-esteem in adolescence, J. Clin. Child Adolesc. Psychol., 39 (2010), 627–637. https://doi.org/10.1080/15374416.2010.501292 doi: 10.1080/15374416.2010.501292
    [3] R. Adolphs, L. Nummenmaa, A. Todorov, J. V. Haxby, Data-driven approaches in the investigation of social perception, Philos. Trans. R. Soc. Lond. B Biol. Sci., 371 (2016), https://doi.org/10.1098/rstb.2015.0367 doi: 10.1098/rstb.2015.0367
    [4] B. Fink, N. Neave, The biology of facial beauty, Int. J. Cosmet. Sci., 27 (2005), 317–325. https://doi.org/10.1111/j.1467-2494.2005.00286.x doi: 10.1111/j.1467-2494.2005.00286.x
    [5] Y. Z. Foo, L. W. Simmons, G. Rhodes, Predictors of facial attractiveness and health in humans, Sci. Rep., 7 (2017), 39731. https://doi.org/10.1038/srep39731 doi: 10.1038/srep39731
    [6] A. Żelaźniewicz, J. Nowak, P. Łącka, B. Pawłowski, Facial appearance and metabolic health biomarkers in women, Sci. Rep., 10 (2020), 13067. https://doi.org/10.1038/s41598-020-70119-6 doi: 10.1038/s41598-020-70119-6
    [7] J. R. Thomas, More than a pretty face: the Mona Lisa, Arch. Facial Plast. Surg., 10 (2008), 65–66. https://doi.org/10.1001/archfaci.10.1.65 doi: 10.1001/archfaci.10.1.65
    [8] B. Fink, K. Grammer, R. Thornhill, Human (homo sapiens) facial attractiveness in relation to skin texture and color, J. Comp. Psychol., 115 (2001), 92–99. https://doi.org/10.1037/0735-7036.115.1.92 doi: 10.1037/0735-7036.115.1.92
    [9] J. Hong, B. Koo, J. Koo, The psychosocial and occupational impact of chronic skin disease, Dermatol. Ther., 21 (2008), 54–59. https://doi.org/10.1111/j.1529-8019.2008.00170.x doi: 10.1111/j.1529-8019.2008.00170.x
    [10] A. C. Little, B. C. Jones, C. Waitt, B. P. Tiddeman, D. R. Feinberg, D. I. Perrett, et al., Symmetry is related to sexual dimorphism in faces: data across culture and species, PLoS One, 3 (2008), e2106. https://doi.org/10.1371/journal.pone.0002106 doi: 10.1371/journal.pone.0002106
    [11] S. A. Milosević, M. L. Varga, M. Slaj, Analysis of the soft tissue facial profile of Croatians using of linear measurements, J. Craniofac. Surg., 19 (2008), 251–258. https://doi.org/10.1097/scs.0b013e31815c9446 doi: 10.1097/scs.0b013e31815c9446
    [12] N. Samson, B. Fink, P. J. Matts, Visible skin condition and perception of human facial appearance, Int. J. Cosmet. Sci., 32 (2010), 167–184. https://doi.org/10.1111/j.1468-2494.2009.00535.x doi: 10.1111/j.1468-2494.2009.00535.x
    [13] D. P. Danel, K. Kalinowski, N. Nowak-Szczepanska, A. Ziomkiewicz-Wichary, A. Apanasewicz, K. Borysławski, et al., Shifts in female facial attractiveness during pregnancy, Int. J. Environ. Res. Public Health, 17 (2020), 5176. https://doi.org/10.3390/ijerph17145176 doi: 10.3390/ijerph17145176
    [14] H. Shen, D. K. Chau, J. Su, L. L. Zeng, W. Jiang, J. He, et al., Brain responses to facial attractiveness induced by facial proportions: evidence from an fMRI study, Sci. Rep., 6 (2016), 35905. https://doi.org/10.1038/srep35905 doi: 10.1038/srep35905
    [15] H. Bueller, Ideal facial relationships and goals, Facial Plast. Surg., 34 (2018), 458–465. https://doi.org/10.1055/s-0038-1669401 doi: 10.1055/s-0038-1669401
    [16] Y. Jefferson, Facial beauty-establishing a universal standard, Int. J. Orthod. Milwaukee, 15 (2004), 9–22.
    [17] E. P. Prokopakis, I. M. Vlastos, V. A. Picavet, G. Nolst Trenite, R. Thomas, C. Cingi, et al., The golden ratio in facial symmetry, Rhinology., 51 (2013), 18–21. https://doi.org/10.4193/Rhino12.111 doi: 10.4193/Rhino12.111
    [18] S. R. Marquardt, Dr. Stephen R. Marquardt on the golden decagon and human facial beauty. interview by Dr. Gottlieb, J. Clin. Orthod., 36 (2002), 339–347.
    [19] E. Holland, Marquardt's Phi mask: pitfalls of relying on fashion models and the golden ratio to describe a beautiful face, Aesthetic Plast. Surg., 32 (2008), 200–208. https://doi.org/10.1007/s00266-007-9080-z doi: 10.1007/s00266-007-9080-z
    [20] K. S. Kaya, B. Türk, M. Cankaya, N. Seyhun, B. U. Coşkun, Assessment of facial analysis measurements by golden proportion, Braz. J. Otorhin., 85 (2019), 494–501. https://doi.org/10.1016/j.bjorl.2018.07.009 doi: 10.1016/j.bjorl.2018.07.009
    [21] M. Bashour, History and current concepts in the analysis of facial attractiveness, Plast. Reconstr. Surg., 118 (2006), 741–756. https://doi.org/10.1097/01.prs.0000233051.61512.65 doi: 10.1097/01.prs.0000233051.61512.65
    [22] D. Li, H. Xu, L. Xu, X. Huang, J. Yuan, M. Wei, The aesthetic proportion index of facial contour surgery, J. Craniofac. Surg., 26 (2015), 586–589. https://doi.org/10.1097/scs.0000000000001475 doi: 10.1097/scs.0000000000001475
    [23] M. Przylipiak, J. Przylipiak, R. Terlikowski, E. Lubowicka, L. Chrostek, A. Przylipiak, Impact of face proportions on face attractiveness, J. Cosmet. Dermatol., 17 (2018), 954–959. https://doi.org/10.1111/jocd.12783 doi: 10.1111/jocd.12783
    [24] L. Liang, L. Lin, L. Jin, D. Xie, M. Li, SCUT-FBP5500: a diverse benchmark dataset for multi-paradigm facial beauty prediction, in 2018 24th International Conference on Pattern Recognition (ICPR), (2018), 1598–1603. https://doi.org/10.1109/ICPR.2018.8546038
    [25] M. Matyjek, M. Bayer, I. Dziobek, Pupillary responses to faces are modulated by familiarity and rewarding context, Brain Sci., 11 (2021). https://doi.org/10.3390/brainsci11060794 doi: 10.3390/brainsci11060794
    [26] V. F. Ferrario, C. Sforza, G. Pizzini, G. Vogel, A. Miani, Sexual dimorphism in the human face assessed by euclidean distance matrix analysis, J. Anat., 183 (1993), 593–600.
    [27] A. Sisti, N. Aryan, P. Sadeghi, What is beauty?, Aes. Plast Surg., 45 (2021), 2163–2176. https://doi.org/10.1007/s00266-021-02288-2 doi: 10.1007/s00266-021-02288-2
    [28] T. Greywal, S. H. Dayan, K. Goldie, S. Guillen Fabi, The perception bias of aesthetic providers, J. Cosmet. Dermatol., 20 (2021), 1618–1621. https://doi.org/10.1111/jocd.13785 doi: 10.1111/jocd.13785
    [29] P. N. Broer, S. Juran, Y. J. Liu, K. Weichman, N. Tanna, M. E. Walker, et al., The impact of geographic, ethnic, and demographic dynamics on the perception of beauty, J. Craniofac. Surg., 25 (2014), e157–161. https://doi.org/10.1097/scs.0000000000000406 doi: 10.1097/scs.0000000000000406
    [30] A. Sisti, P. Sadeghi, Leonardo da Vinci: the Lady with an Ermine enigma, Hormones, 20 (2020), 591–592. https://doi.org/10.1007/s42000-020-00264-0 doi: 10.1007/s42000-020-00264-0
    [31] A. C. Little, Facial attractiveness, Wiley Inter. Rev. Cogn. Sci., 5 (2014), 621–634. https://doi.org/10.1002/wcs.1316 doi: 10.1002/wcs.1316
    [32] F. Vegter, J. J. Hage, Clinical anthropometry and canons of the face in historical perspective, Plast Reconstr. Surg., 106 (2000), 1090–1096. https://doi.org/10.1097/00006534-200010000-00021 doi: 10.1097/00006534-200010000-00021
    [33] S. Nakagawa, K. Fischkoff, A. Berlin, T. D. Arnell, C. D. Blinderman, Communication skills training for general surgery residents, J. Surg. Educ., 76 (2019), 1223–1230. https://doi.org/10.1016/j.jsurg.2019.04.001 doi: 10.1016/j.jsurg.2019.04.001
    [34] S. M. Weldon, T. Korkiakangas, J. Bezemer, R. Kneebone, Communication in the operating theatre, Br. J. Surg., 100 (2013), 1677–1688. https://doi.org/10.1002/bjs.9332 doi: 10.1002/bjs.9332
    [35] M. Singh, Communication as a bridge to build a sound doctor-patient/parent relationship, Indian J. Pediatr., 83 (2016), 33–37. https://doi.org/10.1007/s12098-015-1853-9 doi: 10.1007/s12098-015-1853-9
    [36] P. G. Morselli, A. Lippi, F. A. Giorgini, E. Fabbri, V. Pinto, Informed consent in plastic surgery, evaluation of its effectiveness for mutual satisfaction of patient and doctor: comparison of methods, J. Plast Reconstr. Aesthet. Surg., 72 (2019), 1847–1855. https://doi.org/10.1016/j.bjps.2019.05.037 doi: 10.1016/j.bjps.2019.05.037
    [37] G. L. Engel, The clinical application of the biopsychosocial model, Am. J. Psychiatry, 137 (1980), 535–544. https://doi.org/10.1176/ajp.137.5.535 doi: 10.1176/ajp.137.5.535
    [38] Y. Alonso, The biopsychosocial model in medical research: the evolution of the health concept over the last two decades, Patient Educ. Couns., 53 (2004), 239–244. https://doi.org/10.1016/s0738-3991(03)00146-0 doi: 10.1016/s0738-3991(03)00146-0
    [39] R. Patcas, R. Timofte, A. Volokitin, E. Agustsson, T. Eliades, M. Eichenberger, et al., Facial attractiveness of cleft patients: a direct comparison between artificial-intelligence-based scoring and conventional rater groups, Eur. J. Orthod., 41 (2019), 428–433. https://doi.org/10.1093/ejo/cjz007 doi: 10.1093/ejo/cjz007
    [40] M. Nolden, S. Zelzer, A. Seitel, D. Wald, M. Müller, A. M. Franz, et al., The medical imaging interaction toolkit: challenges and advances : 10 years of open-source development, Int. J. Comput. Assist. Radiol. Surg., 8 (2013), 607–620. https://doi.org/10.1007/s11548-013-0840-8 doi: 10.1007/s11548-013-0840-8
    [41] L. Zhang, D. Zhang, M. M. Sun, F. M. Chen, Facial beauty analysis based on geometric feature: toward attractiveness assessment application, Expert Syst. Appl., 82 (2017), 252–265. https://doi.org/10.1016/j.eswa.2017.04.021 doi: 10.1016/j.eswa.2017.04.021
    [42] D. Zhang, Q. Zhao, F. Chen, Quantitative analysis of human facial beauty using geometric features, Pattern Recogn., 44 (2011), 940–950. https://doi.org/10.1016/j.patcog.2010.10.013 doi: 10.1016/j.patcog.2010.10.013
    [43] L. Xu, J. Xiang, X. Yuan, CRNet: Classification and regression neural network for facial beauty prediction, 11166 (2018), 661–671. https://doi.org/10.1007/978-3-030-00764-5_61
    [44] Y. J. Hong, G. P. Nam, H. Choi, J. Cho, I. J. Kim, A novel framework for assessing facial attractiveness based on facial proportions, Symmetry (Basel), 9 (2017), 294. https://doi.org/10.3390/sym9120294 doi: 10.3390/sym9120294
    [45] S. Tong, X. Liang, T. Kumada, S. Iwaki, Putative ratios of facial attractiveness in a deep neural network, Vision Res., 178 (2021), 86–99. https://doi.org/10.1016/j.visres.2020.10.001 doi: 10.1016/j.visres.2020.10.001
    [46] Z.-W. He, L. Zhang, F. Y. Liu, DiscoStyle: multi-level logistic ranking for personalized image style preference inference, Int. J. Autom. Comput., 17 (2020), 637–651. https://doi.org/10.1007/s11633-020-1244-1 doi: 10.1007/s11633-020-1244-1
    [47] C. Han, X. Lei, P. Yan, X. Li, E. R. Morrison, Age differences in preferences for body physique, Pers. Indiv. differ., 181 (2021), 111033. https://doi.org/10.1016/j.paid.2021.111033 doi: 10.1016/j.paid.2021.111033
    [48] K. Gildersleeve, M. G. Haselton, M. R. Fales, Do women's mate preferences change across the ovulatory cycle? a meta-analytic review, Psychol. Bull., 140 (2014), 1205–1259. https://doi.org/10.1037/a0035438 doi: 10.1037/a0035438
    [49] A. C. Little, B. C. Jones, L. M. DeBruine, Facial attractiveness: evolutionary based research, Philos. Trans. Roy. Soc., 366 (2011), 1638–1659. https://doi.org/10.1098/rstb.2010.0404 doi: 10.1098/rstb.2010.0404
    [50] M. Komori, S. Kawamura, S. Ishihara, Averageness or symmetry: which is more important for facial attractiveness?, Acta Psychol., 131 (2009), 136–142. https://doi.org/10.1016/j.actpsy.2009.03.008 doi: 10.1016/j.actpsy.2009.03.008
    [51] G. Vera Cruz, The impact of face skin tone vs. face symmetry on perceived facial attractiveness, J. Gen. Psychol., 145 (2018), 183–198. https://doi.org/10.1080/00221309.2018.1459452 doi: 10.1080/00221309.2018.1459452
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