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Construction of Appearance Manifold with Embedded View-Dependent Covariance Matrix for 3D Object Recognition
http://hdl.handle.net/2237/14959
http://hdl.handle.net/2237/14959f38687aa-2fbf-42e9-800d-5d6b995b663b
名前 / ファイル | ライセンス | アクション |
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355.pdf (1.1 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2011-06-28 | |||||
タイトル | ||||||
タイトル | Construction of Appearance Manifold with Embedded View-Dependent Covariance Matrix for 3D Object Recognition | |||||
言語 | en | |||||
著者 |
Lina
× Lina× TAKAHASHI, Tomokazu× IDE, Ichiro× MURASE, Hiroshi |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
言語 | en | |||||
権利情報 | Copyright (C) 2008 IEICE | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 3D object recognition | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | appearance manifold | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | view-dependent covariance matrix | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | eigenvector interpolation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | eigenvalue interpolation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | eigenspace | |||||
抄録 | ||||||
内容記述 | We propose the construction of an appearance manifold with embedded view-dependent covariance matrix to recognize 3D objects which are influenced by geometric distortions and quality degradation effects. The appearance manifold is used to capture the pose variability, while the covariance matrix is used to learn the distribution of samples for gaining noise-invariance. However, since the appearance of an object in the captured image is different for every different pose, the covariance matrix value is also different for every pose position. Therefore, it is important to embed view-dependent covariance matrices in the manifold of an object. We propose two models of constructing an appearance manifold with view-dependent covariance matrix, called the View-dependent Covariance matrix by training-Point Interpolation (VCPI) and View-dependent Covariance matrix by Eigenvector Interpolation (VCEI) methods. Here, the embedded view-dependent covariance matrix of the VCPI method is obtained by interpolating every training-points from one pose to other training-points in a consecutive pose. Meanwhile, in the VCEI method, the embedded view-dependent covariance matrix is obtained by interpolating only the eigenvectors and eigenvalues without considering the correspondences of each training image. As it embeds the covariance matrix in manifold, our view-dependent covariance matrix methods are robust to any pose changes and are also noise invariant. Our main goal is to construct a robust and efficient manifold with embedded view-dependent covariance matrix for recognizing objects from images which are influenced with various degradation effects. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
出版者 | ||||||
言語 | en | |||||
出版者 | Institute of Electronics, Information and Communication Engineers | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
関連情報 | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | URI | |||||
関連識別子 | http://www.ieice.org/jpn/trans_online/index.html | |||||
ISSN | ||||||
収録物識別子タイプ | PISSN | |||||
収録物識別子 | 0916-8532 | |||||
書誌情報 |
en : IEICE transactions on information and systems 巻 E91-D, 号 4, p. 1091-1100, 発行日 2008-04-01 |
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著者版フラグ | ||||||
値 | publisher | |||||
URI | ||||||
識別子 | http://www.ieice.org/jpn/trans_online/index.html | |||||
識別子タイプ | URI | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/14959 | |||||
識別子タイプ | HDL |