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Skeletons, Object Shape, Statistics
Objects and object complexes in 3D, as well as those in 2D, have many possible representations. Among them skeletal representations have special advantages and some limitations. For the special form of skeletal representation called “s-reps,” these advantages include strong suitability for represent...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488910/ https://www.ncbi.nlm.nih.gov/pubmed/37692198 http://dx.doi.org/10.3389/fcomp.2022.842637 |
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author | Pizer, Stephen M. Marron, J. S. Damon, James N. Vicory, Jared Krishna, Akash Liu, Zhiyuan Taheri, Mohsen |
author_facet | Pizer, Stephen M. Marron, J. S. Damon, James N. Vicory, Jared Krishna, Akash Liu, Zhiyuan Taheri, Mohsen |
author_sort | Pizer, Stephen M. |
collection | PubMed |
description | Objects and object complexes in 3D, as well as those in 2D, have many possible representations. Among them skeletal representations have special advantages and some limitations. For the special form of skeletal representation called “s-reps,” these advantages include strong suitability for representing slabular object populations and statistical applications on these populations. Accomplishing these statistical applications is best if one recognizes that s-reps live on a curved shape space. Here we will lay out the definition of s-reps, their advantages and limitations, their mathematical properties, methods for fitting s-reps to single- and multi-object boundaries, methods for measuring the statistics of these object and multi-object representations, and examples of such applications involving statistics. While the basic theory, ideas, and programs for the methods are described in this paper and while many applications with evaluations have been produced, there remain many interesting open opportunities for research on comparisons to other shape representations, new areas of application and further methodological developments, many of which are explicitly discussed here. |
format | Online Article Text |
id | pubmed-10488910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-104889102023-09-08 Skeletons, Object Shape, Statistics Pizer, Stephen M. Marron, J. S. Damon, James N. Vicory, Jared Krishna, Akash Liu, Zhiyuan Taheri, Mohsen Front Comput Sci Article Objects and object complexes in 3D, as well as those in 2D, have many possible representations. Among them skeletal representations have special advantages and some limitations. For the special form of skeletal representation called “s-reps,” these advantages include strong suitability for representing slabular object populations and statistical applications on these populations. Accomplishing these statistical applications is best if one recognizes that s-reps live on a curved shape space. Here we will lay out the definition of s-reps, their advantages and limitations, their mathematical properties, methods for fitting s-reps to single- and multi-object boundaries, methods for measuring the statistics of these object and multi-object representations, and examples of such applications involving statistics. While the basic theory, ideas, and programs for the methods are described in this paper and while many applications with evaluations have been produced, there remain many interesting open opportunities for research on comparisons to other shape representations, new areas of application and further methodological developments, many of which are explicitly discussed here. 2022-10 2022-10-18 /pmc/articles/PMC10488910/ /pubmed/37692198 http://dx.doi.org/10.3389/fcomp.2022.842637 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). |
spellingShingle | Article Pizer, Stephen M. Marron, J. S. Damon, James N. Vicory, Jared Krishna, Akash Liu, Zhiyuan Taheri, Mohsen Skeletons, Object Shape, Statistics |
title | Skeletons, Object Shape, Statistics |
title_full | Skeletons, Object Shape, Statistics |
title_fullStr | Skeletons, Object Shape, Statistics |
title_full_unstemmed | Skeletons, Object Shape, Statistics |
title_short | Skeletons, Object Shape, Statistics |
title_sort | skeletons, object shape, statistics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488910/ https://www.ncbi.nlm.nih.gov/pubmed/37692198 http://dx.doi.org/10.3389/fcomp.2022.842637 |
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