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

Volume

1

fYear

1999

fDate

1999

Firstpage

442

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on

Conference_Location

Kerkyra

Print_ISBN

0-7695-0164-8

Type

conf

DOI

10.1109/ICCV.1999.791254

Filename

791254