DocumentCode :
3203955
Title :
Highlight separation and surface orientations for 3-D specular objects
Author :
Park, Jong-Seok ; Tou, Julius T.
Author_Institution :
Center for Inf. Res., Florida Univ., Gainesville, FL, USA
Volume :
i
fYear :
1990
fDate :
16-21 Jun 1990
Firstpage :
331
Abstract :
The authors present a normal vector equalization method for separating probable highlights and obtaining surface orientations of 3-D specular objects. Based on the simplified Torrance-Sparrow model of specular reflection and the empirical Lambertian reflection model, this method uses a set of three monochromatic images taken from three different illumination directions, separates probable highlights from those images, and generates a set of three Lambertian (highlight-free) images and a set of three specular (highlight-only) images. Surface orientations are obtained using the Lambertian images by solving an imaging equation for a Lambertian surface. Computer simulations and experiments with real objects have been performed. The theoretical framework for measuring surface parameters which represent optical characteristics of the surface is also discussed
Keywords :
light reflection; pattern recognition; picture processing; vectors; 3-D specular objects; Lambertian images; Lambertian surface; empirical Lambertian reflection model; highlight separation; monochromatic images; normal vector equalization method; simplified Torrance-Sparrow model; specular reflection; surface orientations; Detectors; Dielectric materials; Electronics industry; Image edge detection; Image generation; Machine vision; Optical imaging; Optical reflection; Shape; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
Type :
conf
DOI :
10.1109/ICPR.1990.118125
Filename :
118125
Link To Document :
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