DocumentCode :
2530933
Title :
Using chebyshev polynomials for interpreting structured light images
Author :
Shneier, Michael O. ; Rutkowski, Wallace S. ; Hong, Tsai-Hong
Author_Institution :
National Bureau of Standards, Gaithersburg, MD
Volume :
2
fYear :
1985
fDate :
31107
Firstpage :
17
Lastpage :
20
Abstract :
A method is described of representing curved or line-like segments in images using Chebyshev polynomials. The advantages of the approximations include fast computation minimum error over the sampling interval, and the reduction of the data to a concise description consisting of a few coefficients. An implementation is discussed that uses images obtained from a structured-light ranging system.
Keywords :
Chebyshev approximation; Image segmentation; Noise figure; Pixel; Polynomials; Radio access networks; Runtime; Skeleton; Sufficient conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation. Proceedings. 1985 IEEE International Conference on
Type :
conf
DOI :
10.1109/ROBOT.1985.1087361
Filename :
1087361
Link To Document :
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