Quantitative characterization of skin appearance is an important but difficult task. Skin appearance is strongly affected by the direction from which it is viewed and illuminated. Computational modeling of surface texture has potential uses in many applications including realistic rendering for computer graphics and robust recognition for computer vision. For recognition, the overall structure of the object is important, but fine-scale details can assist the recognition problem greatly. We develop models of surface texture and demonstrate their use in recognition tasks. We also describe a texture camera for capturing fine-scale surface details. Specifically, the texture camera measures reflectance and surface height variation using curved mirrors. We discuss why measurements and models of fine scale detail are important in dermatology applications.
|Original language||English (US)|
|Number of pages||6|
|Journal||Final Program and Proceedings - IS and T/SID Color Imaging Conference|
|State||Published - Dec 1 2005|
|Event||STOC'05: Proceedings of the 37th Annual ACM Symposium on Theory of Computing - Baltimore, MD, United States|
Duration: May 22 2005 → May 24 2005
All Science Journal Classification (ASJC) codes