Equal distance sampling of superellipse models:
Abstract: "Superellipses are parametric models that can be used for representing two dimensional object parts or aspects of 3-D parts. Previously little care was given to obtaining a precise sampling of the contour of these models. Equal-distance sampling of superellipse model contours is howev...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Edinburgh
1995
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| Subjects: | |
| Summary: | Abstract: "Superellipses are parametric models that can be used for representing two dimensional object parts or aspects of 3-D parts. Previously little care was given to obtaining a precise sampling of the contour of these models. Equal-distance sampling of superellipse model contours is however important for rendering and in cases in which a cost function needs to be estimated for data fitting or parameter estimation, such as in model-based optimisation. In this paper we present a new parametric method for achieving equal-distance sampling of superellipse model contours that properly combines two simple first order models of the sampled points distance function. We also show how to extend the method to deformable superellipses and superquadrics." |
| Physical Description: | [10] S. graph. Darst. |
Staff View
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| 100 | 1 | |a Pilu, Maurizio |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Equal distance sampling of superellipse models |c Pilu, M. ; Fisher, R. B. |
| 264 | 1 | |a Edinburgh |c 1995 | |
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| 520 | 3 | |a Abstract: "Superellipses are parametric models that can be used for representing two dimensional object parts or aspects of 3-D parts. Previously little care was given to obtaining a precise sampling of the contour of these models. Equal-distance sampling of superellipse model contours is however important for rendering and in cases in which a cost function needs to be estimated for data fitting or parameter estimation, such as in model-based optimisation. In this paper we present a new parametric method for achieving equal-distance sampling of superellipse model contours that properly combines two simple first order models of the sampled points distance function. We also show how to extend the method to deformable superellipses and superquadrics." | |
| 650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
| 650 | 7 | |a Pattern recognition, image processing and remote sensing |2 sigle | |
| 650 | 4 | |a Computer vision | |
| 650 | 4 | |a Model theory | |
| 700 | 1 | |a Fisher, Robert B. |e Verfasser |4 aut | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-007396360 | ||
Record in the Search Index
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| author | Pilu, Maurizio Fisher, Robert B. |
| author_facet | Pilu, Maurizio Fisher, Robert B. |
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| author_sort | Pilu, Maurizio |
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| building | Verbundindex |
| bvnumber | BV011045271 |
| ctrlnum | (OCoLC)35171328 (DE-599)BVBBV011045271 |
| format | Book |
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| id | DE-604.BV011045271 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:03:06Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007396360 |
| oclc_num | 35171328 |
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| owner_facet | DE-91G DE-BY-TUM |
| physical | [10] S. graph. Darst. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
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| spelling | Pilu, Maurizio Verfasser aut Equal distance sampling of superellipse models Pilu, M. ; Fisher, R. B. Edinburgh 1995 [10] S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Abstract: "Superellipses are parametric models that can be used for representing two dimensional object parts or aspects of 3-D parts. Previously little care was given to obtaining a precise sampling of the contour of these models. Equal-distance sampling of superellipse model contours is however important for rendering and in cases in which a cost function needs to be estimated for data fitting or parameter estimation, such as in model-based optimisation. In this paper we present a new parametric method for achieving equal-distance sampling of superellipse model contours that properly combines two simple first order models of the sampled points distance function. We also show how to extend the method to deformable superellipses and superquadrics." Bionics and artificial intelligence sigle Pattern recognition, image processing and remote sensing sigle Computer vision Model theory Fisher, Robert B. Verfasser aut |
| spellingShingle | Pilu, Maurizio Fisher, Robert B. Equal distance sampling of superellipse models Bionics and artificial intelligence sigle Pattern recognition, image processing and remote sensing sigle Computer vision Model theory |
| title | Equal distance sampling of superellipse models |
| title_auth | Equal distance sampling of superellipse models |
| title_exact_search | Equal distance sampling of superellipse models |
| title_full | Equal distance sampling of superellipse models Pilu, M. ; Fisher, R. B. |
| title_fullStr | Equal distance sampling of superellipse models Pilu, M. ; Fisher, R. B. |
| title_full_unstemmed | Equal distance sampling of superellipse models Pilu, M. ; Fisher, R. B. |
| title_short | Equal distance sampling of superellipse models |
| title_sort | equal distance sampling of superellipse models |
| topic | Bionics and artificial intelligence sigle Pattern recognition, image processing and remote sensing sigle Computer vision Model theory |
| topic_facet | Bionics and artificial intelligence Pattern recognition, image processing and remote sensing Computer vision Model theory |
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