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Using Chebyshev Polynomials for Interpreting Structured Light Images

Published

Author(s)

Michael O. Shneier, W Rutowski, Tsai H. Hong

Abstract

A method is described of representing curved or line-like segments of 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.
Proceedings Title
Proceedings of the IEEE International Conference on Robotics and Automation
Conference Dates
April 1, 1985
Conference Location
, USA
Conference Title
IEEE International Conference on Robotics and Automation

Keywords

Range-Finder

Citation

Shneier, M. , Rutowski, W. and Hong, T. (1985), Using Chebyshev Polynomials for Interpreting Structured Light Images, Proceedings of the IEEE International Conference on Robotics and Automation, , USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=820266 (Accessed February 27, 2024)
Created March 31, 1985, Updated October 12, 2021