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  1. 030 理工学 Science & engineering
  2. 学術雑誌掲載論文

An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection

https://iwate-u.repo.nii.ac.jp/records/9706
https://iwate-u.repo.nii.ac.jp/records/9706
ca1fb6a2-b067-46bc-9bf1-9eb9d2bc80fa
名前 / ファイル ライセンス アクション
p16icpr-v1p65-69.pdf p16icpr-v1p65-69.pdf (2.5 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2009-02-12
タイトル
タイトル An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection
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 KIMURA, Akio

× KIMURA, Akio

KIMURA, Akio

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WATANABE, Takashi

× WATANABE, Takashi

WATANABE, Takashi

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著者(機関)
値 Department of Computer and Information Science, Iwate University
登録日
日付 2009-02-12
書誌情報 Proceedings : 16th International Conference on Pattern Recognition

巻 1, p. 65-69, 発行日 2002-01-01
ISSN
収録物識別子タイプ ISSN
収録物識別子 1051-4651
Abstract
内容記述タイプ Other
内容記述 We present a method for two-dimensional (2D) shape detection applicable under affine transformation. The problem of affine-invariant shape detection is an important and fundamental research subject in computer vision. Although various methods have been proposed to solve this problem, most of those approaches are not well suited for the following general cases: (1) a shape to be detected is occluded by other overlapping objects, (2) a shape boundary is partially broken because of noise or other factors. We introduce a method to deal with such cases, which extends the generalized Hough transform to be an affine-invariant shape detector. This method, called the affine-GHT, utilizes pairwise parallel tangents and basic properties of an affine transformation to carry the direct computation for six parameters of an affine transformation. Experimental results demonstrate that the proposed method performs successfully and efficiently.
出版者
出版者 IEEE
権利
権利情報 © 2002 IEEE
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 10.1109/ICPR.2002.1044613
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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