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  1. 学術雑誌論文
  2. IEICE Transactions on Information and Systems

An Extended Scheme for Shape Matching with Local Descriptors

https://hiroshima-cu.repo.nii.ac.jp/records/1820
https://hiroshima-cu.repo.nii.ac.jp/records/1820
84d80ba5-7077-4742-8482-7a9092bff4af
名前 / ファイル ライセンス アクション
e104-d_2_285.pdf e104-d_2_285.pdf (424.9 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2023-03-07
タイトル
タイトル An Extended Scheme for Shape Matching with Local Descriptors
言語
言語 eng
キーワード
主題 shape matching
キーワード
主題 local shape descriptor
キーワード
主題 probability density estimator
キーワード
主題 branch-and-bound algorithm
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 IWATA, Kazunori

× IWATA, Kazunori

IWATA, Kazunori

ja-Kana イワタ, カズノリ

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YAMAMOTO, Hiroki

× YAMAMOTO, Hiroki

YAMAMOTO, Hiroki

ja-Kana ヤマモト, ヒロキ

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MIMURA, Kazushi

× MIMURA, Kazushi

MIMURA, Kazushi

ja-Kana ミムラ, カズシ

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岩田, 一貴

× 岩田, 一貴

en 岩田, 一貴

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山本, 大貴

× 山本, 大貴

en 山本, 大貴

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三村, 和史

× 三村, 和史

en 三村, 和史

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抄録
内容記述タイプ Abstract
内容記述 Shape matching with local descriptors is an underlyingscheme in shape analysis. We can visually confirm the matching results andalso assess them for shape classification. Generally, shape matching is im-plemented by determining the correspondence between shapes that are rep-resented by their respective sets of sampled points. Some matching meth-ods have already been proposed; the main difference between them lies intheir choice of matching cost function. This function measures the dissim-ilarity between the local distribution of sampled points around a focusingpoint of one shape and the local distribution of sampled points around areferring point of another shape. A local descriptor is used to describe thedistribution of sampled points around the point of the shape. In this paper,we propose an extended scheme for shape matching that can compensatefor errors in existing local descriptors. It is convenient for local descriptorsto adopt our scheme because it does not require the local descriptors to bemodified. The main idea of our scheme is to consider the correspondenceof neighboring sampled points to a focusing point when determining thecorrespondence of the focusing point. This is useful because it increasesthe chance of finding a suitable correspondence. However, considering thecorrespondence of neighboring points causes a problem regarding compu-tational feasibility, because there is a substantial increase in the numberof possible correspondences that need to be considered in shape match-ing. We solve this problem using a branch-and-bound algorithm, for effi-cient approximation. Using several shape datasets, we demonstrate that ourscheme yields a more suitable matching than the conventional scheme thatdoes not consider the correspondence of neighboring sampled points, eventhough our scheme requires only a small increase in execution time.
書誌情報 IEICE Transactions on Information and Systems

巻 E104-D, 号 2, p. 285-293, 発行日 2021-02-01
出版者
出版者 電子情報通信学会
ISSN
収録物識別子タイプ ISSN
収録物識別子 09168532|17451361
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA10826272|AA11226532|AA11510321
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 info:doi/https://doi.org/10.1587/transinf.2020EDP7134
権利
権利情報 Copyright © 2021 The Institute of Electronics, Information and Communication Engineers
関連サイト
識別子タイプ URI
関連識別子 https://search.ieice.org/
関連名称 https://search.ieice.org/
他の資源との関係
関連名称 https://search.ieice.org/bin/pdf_link.php?category=D&lang=E&year=2021&fname=e104-d_2_285&abst=
フォーマット
内容記述タイプ Other
内容記述 application/pdf
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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