DocumentCode :
2491172
Title :
Shape from focus: an effective approach for rough surfaces
Author :
Nayar, Shree K. ; Nakagawa, Yasuo
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
1990
fDate :
13-18 May 1990
Firstpage :
218
Abstract :
Two algorithms for depth estimation are presented. The first algorithm simply looks for the focus level that maximizes the focus measure at each image point. The second algorithm uses a Gaussian model to interpolate the focus measures to obtain more accurate depth estimates. The algorithms were implemented and tested on surfaces of different roughness and reflectance properties. The results indicate that the shape-from-focus method may be applied to a variety of industrial vision problems
Keywords :
computer vision; focusing; pattern recognition; picture processing; Gaussian model; depth estimates; depth estimation; focus level; industrial vision; rough surfaces; shape-from-focus method; Focusing; Frequency; Image analysis; Image sensors; Image sequences; Layout; Robots; Rough surfaces; Shape; Surface roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
Conference_Location :
Cincinnati, OH
Print_ISBN :
0-8186-9061-5
Type :
conf
DOI :
10.1109/ROBOT.1990.125976
Filename :
125976
Link To Document :
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