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