Evaluating Distance Approximation for Implicit Curve Fitting
The curve or surface fitting problem to the given data set is treated as the one of comparison of the distance function with its suggested approximation. The comparison is performed in terms of statistical characteristics for the two sets of random variables. The approach is exemplified via the sets...
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Format: | Article |
Language: | English |
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FRUCT
2020-04-01
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Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
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Online Access: | https://www.fruct.org/publications/fruct26/files/Gon.pdf |
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author | Marina Goncharova Alexei Uteshev Arthur Lazdin |
author_facet | Marina Goncharova Alexei Uteshev Arthur Lazdin |
author_sort | Marina Goncharova |
collection | DOAJ |
description | The curve or surface fitting problem to the given data set is treated as the one of comparison of the distance function with its suggested approximation. The comparison is performed in terms of statistical characteristics for the two sets of random variables. The approach is exemplified via the sets generated by single ellipse or a pair of ellipses. |
first_indexed | 2024-12-11T11:36:18Z |
format | Article |
id | doaj.art-cca3bc0a686e48d1b801aee59227a370 |
institution | Directory Open Access Journal |
issn | 2305-7254 2343-0737 |
language | English |
last_indexed | 2024-12-11T11:36:18Z |
publishDate | 2020-04-01 |
publisher | FRUCT |
record_format | Article |
series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
spelling | doaj.art-cca3bc0a686e48d1b801aee59227a3702022-12-22T01:08:44ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372020-04-0126110210710.23919/FRUCT48808.2020.9087461Evaluating Distance Approximation for Implicit Curve FittingMarina Goncharova0Alexei Uteshev1Arthur Lazdin2Saint Petersburg State University, RussiaSaint Petersburg State University, RussiaITMO University, RussiaThe curve or surface fitting problem to the given data set is treated as the one of comparison of the distance function with its suggested approximation. The comparison is performed in terms of statistical characteristics for the two sets of random variables. The approach is exemplified via the sets generated by single ellipse or a pair of ellipses.https://www.fruct.org/publications/fruct26/files/Gon.pdfdistance approximationcurve fittingellipsemultiple ellipse fitting |
spellingShingle | Marina Goncharova Alexei Uteshev Arthur Lazdin Evaluating Distance Approximation for Implicit Curve Fitting Proceedings of the XXth Conference of Open Innovations Association FRUCT distance approximation curve fitting ellipse multiple ellipse fitting |
title | Evaluating Distance Approximation for Implicit Curve Fitting |
title_full | Evaluating Distance Approximation for Implicit Curve Fitting |
title_fullStr | Evaluating Distance Approximation for Implicit Curve Fitting |
title_full_unstemmed | Evaluating Distance Approximation for Implicit Curve Fitting |
title_short | Evaluating Distance Approximation for Implicit Curve Fitting |
title_sort | evaluating distance approximation for implicit curve fitting |
topic | distance approximation curve fitting ellipse multiple ellipse fitting |
url | https://www.fruct.org/publications/fruct26/files/Gon.pdf |
work_keys_str_mv | AT marinagoncharova evaluatingdistanceapproximationforimplicitcurvefitting AT alexeiuteshev evaluatingdistanceapproximationforimplicitcurvefitting AT arthurlazdin evaluatingdistanceapproximationforimplicitcurvefitting |