DocumentCode
2472767
Title
Shape and reflectance from an image sequence generated using extended sources
Author
Nayar, Shree K. ; Ikeuchi, Katsushi ; Kanade, Takeo
Author_Institution
Robotics Inst., Carnegie-Mellon Univ., Pittsburgh, PA, USA
fYear
1989
fDate
14-19 May 1989
Firstpage
28
Abstract
The authors present a method for determining the shapes of surfaces whose reflectance properties may vary from Lambertian to specular, without prior knowledge of the relative strengths of the Lambertian and specular components of reflection. The object surface is illuminated using extended light sources and is viewed from a single direction. Surface illumination using extended sources makes it possible to ensure the detection of both Lambertian and specular reflections. Multiple source directions are used to obtain an image sequence of the object. An extraction algorithm uses the set of image intensity values measured at each surface point to compute orientation as well as relative strengths of the Lambertian and specular reflection components. The proposed method is called photometric sampling, as it uses samples of photometric function that relates image intensity to surface orientation, reflectance, and light source characteristics. Experiments were conducted on Lambertian surfaces, specular surfaces, and hybrid surfaces, whose reflectance models are composed of both Lambertian and specular components. The results show high accuracy in measured orientations and estimated reflectance parameters
Keywords
computer vision; photometry; reflectivity; Lambertian; computer vision; extended light sources; extraction algorithm; hybrid surfaces; image intensity values; image sequence; orientation; photometric sampling; reflectance; specular; Image generation; Image sampling; Image sequences; Light sources; Lighting; Optical reflection; Parameter estimation; Photometry; Reflectivity; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1989. Proceedings., 1989 IEEE International Conference on
Conference_Location
Scottsdale, AZ
Print_ISBN
0-8186-1938-4
Type
conf
DOI
10.1109/ROBOT.1989.99963
Filename
99963
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