Paper
26 September 2016 A novel image-based BRDF measurement system and its application to human skin
Jeffrey R. Bintz, Michael J. Mendenhall, Michael A. Marciniak, Samuel D. Butler, James Tommy Lloyd
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Abstract
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey R. Bintz, Michael J. Mendenhall, Michael A. Marciniak, Samuel D. Butler, and James Tommy Lloyd "A novel image-based BRDF measurement system and its application to human skin", Proc. SPIE 9961, Reflection, Scattering, and Diffraction from Surfaces V, 996108 (26 September 2016); https://doi.org/10.1117/12.2239119
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Skin

Bidirectional reflectance transmission function

Cameras

Imaging systems

Light sources

Image segmentation

Near infrared

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