Fitting curve to planar digital data

M. Sarfraz

doi:10.1109/IV.2002.1028841

Fitting curve to planar digital data

M. Sarfraz^*

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

An optimal curve fitting technique has been developed which is meant to automatically provide a fit to any ordered digital data in a plane. A more flexible class of rational cubic functions is the basis of this technique. This class of functions involves two control parameters, which help to produce an optimal curve fit. The curve technique has used various ideas for curve design. These ideas include end-point interpolation, intermediate point interpolation, detection of characteristic points, and parameterization. The final shape is achieved by stitching the generalized Bezier cubic pieces with C¹ smoothness.

Original language	English
Title of host publication	Proceedings - 6th International Conference on Information Visualisation, IV 2002
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	633-638
Number of pages	6
ISBN (Electronic)	0769516564
DOIs	https://doi.org/10.1109/IV.2002.1028841
State	Published - 2002

Publication series

Name	Proceedings of the International Conference on Information Visualisation
Volume	2002-January
ISSN (Print)	1093-9547

Bibliographical note

Publisher Copyright:
© 2002 IEEE.

Keywords

Application software
Automatic control
Computer science
Curve fitting
Interpolation
Minerals
Optimal control
Robust control
Shape
Spline

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition

Access to Document

10.1109/IV.2002.1028841

Cite this

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title = "Fitting curve to planar digital data",

abstract = "An optimal curve fitting technique has been developed which is meant to automatically provide a fit to any ordered digital data in a plane. A more flexible class of rational cubic functions is the basis of this technique. This class of functions involves two control parameters, which help to produce an optimal curve fit. The curve technique has used various ideas for curve design. These ideas include end-point interpolation, intermediate point interpolation, detection of characteristic points, and parameterization. The final shape is achieved by stitching the generalized Bezier cubic pieces with C1 smoothness.",

keywords = "Application software, Automatic control, Computer science, Curve fitting, Interpolation, Minerals, Optimal control, Robust control, Shape, Spline",

author = "M. Sarfraz",

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doi = "10.1109/IV.2002.1028841",

language = "English",

series = "Proceedings of the International Conference on Information Visualisation",

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Fitting curve to planar digital data. / Sarfraz, M.
Proceedings - 6th International Conference on Information Visualisation, IV 2002. Institute of Electrical and Electronics Engineers Inc., 2002. p. 633-638 1028841 (Proceedings of the International Conference on Information Visualisation; Vol. 2002-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - Automatic control

KW - Computer science

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KW - Interpolation

KW - Minerals

KW - Optimal control

KW - Robust control

KW - Shape

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M3 - Conference contribution

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Fitting curve to planar digital data

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this