Title :
Photometric surface analysis in a tri-luminal environment
Author :
Angelopoulou, Elli ; Williams, James P.
Author_Institution :
Dept. of Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA
Abstract :
Methods for the analysis of images of the same scene taken under three different lighting conditions are illustrated. A technique that separates the effects of geometry and surface coloration/texture in this “tri-luminal” environment is developed and experimental results are shown. Exploiting this technique to isolate geometric information, two methods which extract differential geometric properties of surfaces (the sign of Gaussian curvature and its magnitude to within a multiplicative factor) directly from tri-luminal photometric data are derived and demonstrated
Keywords :
computational geometry; image colour analysis; image texture; lighting; photometry; experimental results; geometric information; geometry; image analysis; image colour; image texture; lighting conditions; photometric surface analysis; tri-luminal environment; Image analysis; Layout; Lighting; Noise robustness; Optical polarization; Optical reflection; Performance analysis; Photometry; Pixel; Working environment noise;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.791254
