Sohaib Ali, Farooq Abdul R, Atkinson Gary A, Smith Lyndon N, Smith Melvyn L, Warr Robert
Machine Vision Laboratory, University of the West of England, Bristol, UK.
J Opt Soc Am A Opt Image Sci Vis. 2013 Mar 1;30(3):278-86. doi: 10.1364/JOSAA.30.000278.
This paper proposes and describes an implementation of a photometric stereo-based technique for in vivo assessment of three-dimensional (3D) skin topography in the presence of interreflections. The proposed method illuminates skin with red, green, and blue colored lights and uses the resulting variation in surface gradients to mitigate the effects of interreflections. Experiments were carried out on Caucasian, Asian, and African American subjects to demonstrate the accuracy of our method and to validate the measurements produced by our system. Our method produced significant improvement in 3D surface reconstruction for all Caucasian, Asian, and African American skin types. The results also illustrate the differences in recovered skin topography due to the nondiffuse bidirectional reflectance distribution function (BRDF) for each color illumination used, which also concur with the existing multispectral BRDF data available for skin.
本文提出并描述了一种基于光度立体视觉技术的实现方法，用于在存在相互反射的情况下对三维（3D）皮肤地形进行体内评估。所提出的方法用红色、绿色和蓝色光照射皮肤，并利用由此产生的表面梯度变化来减轻相互反射的影响。对高加索人、亚洲人和非裔美国人受试者进行了实验，以证明我们方法的准确性，并验证我们系统产生的测量结果。我们的方法在所有高加索人、亚洲人和非裔美国人皮肤类型的3D表面重建方面都有显著改进。结果还说明了由于每种颜色照明所使用的非漫反射双向反射分布函数（BRDF）而导致的恢复皮肤地形的差异，这也与现有的皮肤多光谱BRDF数据一致。
