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
Link To Document :
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