DocumentCode
817361
Title
Determining reflectance properties of an object using range and brightness images
Author
Ikeuchi, Katsushi ; Sato, Kosuke
Author_Institution
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
13
Issue
11
fYear
1991
fDate
11/1/1991 12:00:00 AM
Firstpage
1139
Lastpage
1153
Abstract
The authors discuss a method of recovering reflectance properties of a surface from a range image given by a range finder and a brightness image given by a standard TV camera. The Torrance-Sparrow model is used for the reflectance model. The model consists of the Lambertian and specular components: its reflectance properties consist of the relative strength between the Lambertian and specular components and specular sharpness as well as light source direction. An iterative least square fitting method is used to obtain these parameters based on the range and brightness images. An input image is segmented into four different parts using the parameters: Lambertian reflection, specular reflection, interreflection, and shadow part. The authors also reconstruct ideal images that consist of only Lambertian or specular reflection
Keywords
brightness; computer vision; computerised picture processing; iterative methods; least squares approximations; optical images; reflectivity; Lambertian reflection; TV camera; Torrance-Sparrow model; brightness images; computer vision; interreflection; iterative least square fitting method; optical images; range finder; range image; reflectance properties; shadow; specular reflection; Brightness; Cameras; Image reconstruction; Image segmentation; Iterative methods; Least squares methods; Light sources; Optical reflection; Reflectivity; TV;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.103274
Filename
103274
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