Journal of the American Academy of Dermatology
Volume 57, Issue 6 , Pages 977-984 , December 2007

Color homogeneity and visual perception of age, health, and attractiveness of female facial skin

  • Paul J. Matts, PhD

      Affiliations

    • P&G Beauty, Egham, United Kingdom
    • ,
  • Bernhard Fink, PhD

      Affiliations

    • Department for Sociobiology/Anthropology, Institute for Zoology and Anthropology, University of Göttingen, Göttingen, Germany
    • Corresponding Author InformationReprint requests: Bernhard Fink, PhD, Department for Sociobiology/Anthropology, Institute for Zoology and Anthropology, University of Göttingen, Berliner Strasse 28, D-37073 Göttingen, Germany.
    • ,
  • Karl Grammer, PhD

      Affiliations

    • Ludwig-Boltzmann-Institute for Urban Ethology, Department for Anthropology, Vienna, Austria
    • ,
  • Maria Burquest, BA

      Affiliations

    • P&G Beauty, The Procter & Gamble Company, Cincinnati, Ohio

,Accepted 28 July 2007.

References 

  1. Symons D. The evolution of human sexuality. Oxford: Oxford University Press; 1979;
  2. Symons D. Beauty is in the adaptations of the beholder: the evolutionary psychology of human female sexual attractiveness. In:  Abramson PR,  Pinkerton SD editor. Sexual nature, sexual culture. Chicago: University of Chicago Press; 1995;
  3. Barber N. The evolutionary psychology of physical attractiveness: sexual selection and human morphology. Ethol Sociobiol. 1995;16:395–424
  4. Fink B, Grammer K, Thornhill R. Human (Homo sapiens) facial attractiveness in relation to skin texture and color. J Comp Psychol. 2001;115:92–99
  5. Jones BC, Little AC, Burt DM, Perrett DI. When facial attractiveness is only skin deep. Perception. 2004;33:569–576
  6. Burt DM, Perrett DI. Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and color information. Proc Biol Sci. 1995;259:137–143
  7. Tarr MJ, Kersten D, Cheng Y, Rossion B. It's Pat! Sexing faces using only red and green. [abstract] J Vis. 2001;1:337a
  8. Hill H, Bruce V, Akamatsu S. Perceiving the sex and race of faces: the role of shape and color. Proc Biol Sci. 1995;261:367–373
  9. Russell R, Sinha P, Biederman I, Nederhouser M. Is pigmentation important for face recognition? Evidence from contrast negation. Perception. 2006;35:749–759
  10. Fink B, Grammer K, Matts PJ. Visual skin color distribution plays a role in the perception of age, attractiveness, and health of female faces. Evol Hum Behav. 2006;27:433–442
  11. Kubelka P, Munk F. Ein Beitrag zur Optik der Farbanstriche. Zeitschrift für Technische Physik. 1931;12:593–601
  12. Anderson RR, Parrish JA. The optics of human skin. J Invest Dermatol. 1981;77:13–19
  13. Wan S, Anderson RR, Parrish JA. Analytical modeling for the optical properties of the skin with in vitro and in vivo applications. Photochem Photobiol. 1981;34:493–499
  14. Jacques SL. Origins of tissue optical properties in the UVA, visible, and NIR regions. In:  Alfano RR,  Fujimoto JG editor. OSA TOPS on Advances in Optical Imaging and Photon Migration. Washington DC: Optical Society of America; 1996;p. 364–369
  15. Cheong WF, Prahl SA, Welch AJ. A review of the optical properties of biological tissues. IEEE J Quantum Electron. 1990;26:2166–2185
  16. Bashkatov AA, Genina EA, Kochubey VI, Tuchin VV. Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm. J Phys D: Appl Phys. 2005;38:2543–2555
  17. Dawson JB, Barker DJ, Ellis DJ, Cotterill JA, Grassam E, Fisher GW, et al. A theoretical and experimental study of light absorption and scattering by in vivo skin. Phys Med Biol. 1980;25:695–709
  18. Zonios G, Bykowski J, Kollias N. Skin melanin, hemoglobin, and light scattering properties can be quantitatively assessed in vivo using diffuse reflectance spectroscopy. J Invest Dermatol. 2001;117:1452–1457
  19. Flock ST, Patterson MS, Wilson BC, Wyman DR. Monte Carlo modeling of light propagation in highly scattering tissues. IEEE Trans Biomed Eng. 1989;36:1162–1168
  20. Matts PJ. Understanding and measuring the optics that drive visual perception of skin appearance. In:  Marks R,  Leveque JL,  Voegeli R editor. The essential stratum corneum. London: Martin Dunitz; 2002;p. 213–222
  21. Cotton SD, Claridge E. Developing a predictive model of human skin coloring. Proc SPIE Med Imaging. 1996;2708:814–825
  22. Cotton SD, Claridge E, Hall PN. Non-invasive skin imaging. In:  Duncan J,  Gindi G editor. Information processing in medical imaging IPMI'97 LNCS 1230. London: Springer; 1997;p. 501–506
  23. Cotton SD, Hall PN, Rashbass J, Claridge E. Assisting diagnosis of melanoma through the “noninvasive biopsy” of skin lesions. In: Proceedings of Medical Image Understanding and Analysis '97; July 7-8, 1997; Oxford. pp. 177-180.
  24. Moncrieff M, Cotton SD, Claridge E, Hall P. Spectrophotometric intracutaneous analysis–a new technique for imaging pigmented skin lesions. Br J Dermatol. 2002;146:448–457
  25. Matts PJ, Dykes PJ, Marks R. The distribution of melanin in skin determined in vivo. Br J Dermatol. 2007;156:620–628
  26. Preece S, Cotton SD, Claridge E. Imaging the pigments of skin with a technique which is invariant to changes in surface geometry and intensity of illuminating light. In:  Barber D editors. Proceedings of Medical Image Understanding and Analysis. Malvern: British Machine Vision Association; 2003;p. 145–148
  27. Haralick RM. Statistical and structural approaches to texture. Proc IEEE Inst Electr Electron Eng. 1979;67:786–804
  28. Pope TW, Williams WL, Wilkinson SB, Gordon MA. Texture parameters based on the spatial gray level dependence method applied to melanocytic nevi. Comput Biomed Res. 1996;29:429–437
  29. Davis LS, Johns A, Aggarwal JK. Texture analysis using generalized co-occurrence matrices. IEEE Trans Pattern Anal Mach Intell. 1979;3:251–259
  30. Dhawan AP, Sicsu A. Segmentation of images of skin lesions using color and texture information of surface pigmentation. Comput Med Imaging Graph. 1992;16:163–177
  31. Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybern. 1973;6:610–621
  32. Ohanian PP, Dubes RC. Performance evaluation for four classes of textural features. Pattern Recognit. 1992;25:819–833
  33. Sonka M, Hlavac V, Boyle R. Image processing, analysis and machine vision. London: International Thompson Computer Press; 1993;
  34. Rosenfeld A, Kak AC. Digital picture processing. 2nd ed.. New York: Academic Press; 1982;
  35. Blackwell HR. Contrast thresholds of the human eye. J Opt Soc Am. 1946;36:642–643
  36. Campbell FW, Robson JG. Application of Fourier analysis to the visibility of gratings. J Physiol. 1968;197:551–566
  37. Barten PGJ. Contrast sensitivity of the human eye and its effects on image quality. Bellingham, WA: SPIE Optical Engineering Press; 1999;
  38. Lu C, Fender DH. The interaction of color and luminance in stereoscopic vision. Invest Ophthalmol. 1972;11:482–490
  39. Gilchrest BA, Blog FB, Szabo G. Effects of aging and chronic sun exposure on melanocytes in human skin. J Invest Dermatol. 1979;73:141–143
  40. Photoaging/photodamage as a public health concern. American Academy of Dermatology Consensus Conference; March 3-4, 1988; Evanston (IL).
  41. National Institutes of Health Consensus Development Conference Statement. Sunlight, Ultraviolet Radiation, and the Skin 7: number 8. Bethesda, MD: U.S. Department of Health and Human Services; 1989;
  42. Griffiths CEM. The clinical identification and quantification of photodamage. Br J Dermatol. 1992;127:37–42
  43. Bastiaens M, Hoefnagel J, Westendorp R, Vermeer BJ, Bouwes Bavinck JN. Solar lentigines are strongly related to sun exposure in contrast to ephelides. Pigment Cell Res. 2004;17:225–229
  44. Green AC. Premature ageing of the skin in a Queensland population. Med J Aust. 1991;155:477–478
  45. Andersen WK, Labadie RR, Bhawan J. Histopathology of solar lentigines of the face: a quantitative study. J Am Acad Dermatol. 1997;36:444–447
  46. Montagna W, Hu F, Carlisle K. A reinvestigation of solar lentigines. Arch Dermatol. 1980;116:1151–1154
  47. Ryan T. The ageing of the blood supply and the lymphatic drainage of the skin. Micron. 2004;35:161–171
  48. Montagna W, Carlisle K. Structural changes in ageing skin. Br J Dermatol. 1990;122:61–70
  49. Braverman IM. Elastic fiber and microvascular abnormalities in aging skin. Dermatol Clin. 1986;4:391–405
  50. Kennedy C, Bastiaens MT, Bajdik CD, Willemze R, Westendorp RG, Bouwes Bavinck JN. Effect of smoking and sun on the aging skin. J Invest Dermatol. 2003;120:548–554
  51. Leyden JJ. Clinical features of ageing skin. Br J Dermatol. 1990;122:1–3
  52. Braverman IM, Fonferko E. Studies in cutaneous aging, II: the microvasculature. J Invest Dermatol. 1982;78:444–448
  53. Toyoda M, Nakamura M, Luo Y, Morohashi M. Ultrastructural characterization of microvasculature in photoaging. J Dermatol Sci. 2001;27(Suppl):S32–S41
  54. Braverman IM. Ultrastructure and organization of the cutaneous microvasculature in normal and pathologic states. J Invest Dermatol. 1989;93(Suppl):S2–S9

 Supported in full by the Procter & Gamble Company.

 Disclosure: Dr Matts and Ms Burquest are paid employees of the Procter & Gamble Company. Drs Fink and Grammer have no conflicts of interest to declare.

PII: S0190-9622(07)01194-2

doi: 10.1016/j.jaad.2007.07.040

Journal of the American Academy of Dermatology
Volume 57, Issue 6 , Pages 977-984 , December 2007

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