A novel image-based BRDF measurement system and its application to human skin
A novel image-based BRDF measurement system and its application to human skin
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一种新型的基于图像的BRDF测量系统及其在人体皮肤中的应用
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
J. T. Lloyd
中科院分区：
文献类型：
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作者：
Jeffrey R. Bintz;M. Mendenhall;M. Marciniak;S. D. Butler;J. T. Lloyd
人体皮肤检测是搜索和救援（SAR）场景中重要的第一步。之前的研究通过特定于应用的相机系统进行人类皮肤检测，该系统利用人类皮肤在两个可见光和两个近红外（NIR）波长下的光谱特性。目前的理论假设人类皮肤是漫反射的;然而，观察到人类皮肤表现出镜面反射和漫反射特性。提出了一种基于图像的双向反射分布函数（BRDF）测量系统，并将其应用于人体皮肤BRDF的采集。该系统使用了一个网格投影激光和一个新的信号处理链，从每个网格位置提取表面法线。人类皮肤的BRDF测量示出了在人类皮肤检测所需的四个光谱通道处的各种黑色素含量和毛发覆盖。近红外结果代表了一个新的贡献，现有的人体皮肤BRDF测量。
Human skin detection is an important first step in search and rescue (SAR) scenarios. Previous research performed human skin detection through an application specific camera system that ex- ploits the spectral properties of human skin at two visible and two near-infrared (NIR) wavelengths. The current theory assumes human skin is diffuse; however, it is observed that human skin exhibits specular and diffuse reflectance properties. This paper presents a novel image-based bidirectional reflectance distribution function (BRDF) measurement system, and applies it to the collection of human skin BRDF. The system uses a grid projecting laser and a novel signal processing chain to extract the surface normal from each grid location. Human skin BRDF measurements are shown for a variety of melanin content and hair coverage at the four spectral channels needed for human skin detection. The NIR results represent a novel contribution to the existing body of human skin BRDF measurements.