NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
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
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 October 20, 2025)