Locally Affine Invariant Descriptors for Shape Matching and Retrieval
This work proposes novel locally affine invariant descriptors for shape representation. The descriptors are theoretically simple and solid, derived from the matrix theories. They can be used for matching and retrieval of shapes under affine transformation, articulated motion or nonrigid deformation....
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| Veröffentlicht in: | IEEE signal processing letters 2010-09, Vol.17 (9), p.803-806 |
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| container_title | IEEE signal processing letters |
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| creator | Wang, Zhaozhong Liang, Min |
| description | This work proposes novel locally affine invariant descriptors for shape representation. The descriptors are theoretically simple and solid, derived from the matrix theories. They can be used for matching and retrieval of shapes under affine transformation, articulated motion or nonrigid deformation. Comparisons of the work with the state-of-the-art shape descriptors are performed based on synthetic and some well-known databases. The experiments validate that the proposed descriptors achieve higher retrieval accuracy and have faster running speed than most of other approaches. |
| doi_str_mv | 10.1109/LSP.2010.2057506 |
| format | Article |
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The descriptors are theoretically simple and solid, derived from the matrix theories. They can be used for matching and retrieval of shapes under affine transformation, articulated motion or nonrigid deformation. Comparisons of the work with the state-of-the-art shape descriptors are performed based on synthetic and some well-known databases. The experiments validate that the proposed descriptors achieve higher retrieval accuracy and have faster running speed than most of other approaches.</description><identifier>ISSN: 1070-9908</identifier><identifier>EISSN: 1558-2361</identifier><identifier>DOI: 10.1109/LSP.2010.2057506</identifier><identifier>CODEN: ISPLEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Affine invariance ; Anisotropic magnetoresistance ; Diffusion processes ; Image databases ; Image processing ; Image retrieval ; Invariants ; Matching ; Matrix theory ; Pattern matching ; Pattern recognition ; Representations ; Retrieval ; Running ; shape descriptor ; shape matching ; Shape measurement ; shape retrieval ; Shearing ; Solids ; State of the art</subject><ispartof>IEEE signal processing letters, 2010-09, Vol.17 (9), p.803-806</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The experiments validate that the proposed descriptors achieve higher retrieval accuracy and have faster running speed than most of other approaches.</description><subject>Affine invariance</subject><subject>Anisotropic magnetoresistance</subject><subject>Diffusion processes</subject><subject>Image databases</subject><subject>Image processing</subject><subject>Image retrieval</subject><subject>Invariants</subject><subject>Matching</subject><subject>Matrix theory</subject><subject>Pattern matching</subject><subject>Pattern recognition</subject><subject>Representations</subject><subject>Retrieval</subject><subject>Running</subject><subject>shape descriptor</subject><subject>shape matching</subject><subject>Shape measurement</subject><subject>shape retrieval</subject><subject>Shearing</subject><subject>Solids</subject><subject>State of the art</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkEFLAzEQRoMoWFfvgpeAB09bJ5tNkxyLVi2sKFbPS5pO7Jbt7ppsC_33prR48DTfwJth5hFyzWDIGOj7YvY-zCB2GQgpYHRCBkwIlWZ8xE5jBgmp1qDOyUUIKwBQTIkBmRStNXW9o2PnqgbptNkaX5mmp48YrK-6vvWButbT2dJ0SF9Nb5dV801Ns6Af2PsKt6a-JGfO1AGvjjUhX0-Tz4eXtHh7nj6Mi9TyjPep1AzmUjLFUOcWLZdzkWcoHcuNBCU4WsO1zEwucq64kOhinDsp5YIvtOEJuTvs7Xz7s8HQl-sqWKxr02C7CWX8SfFMx00Juf1HrtqNb-JxJYNMRis6ogmBA2V9G4JHV3a-Whu_i1C511pGreVea3nUGkduDiMVIv7hQoDiI-C_iSJxnw</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>Wang, Zhaozhong</creator><creator>Liang, Min</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| language | eng |
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| subjects | Affine invariance Anisotropic magnetoresistance Diffusion processes Image databases Image processing Image retrieval Invariants Matching Matrix theory Pattern matching Pattern recognition Representations Retrieval Running shape descriptor shape matching Shape measurement shape retrieval Shearing Solids State of the art |
| title | Locally Affine Invariant Descriptors for Shape Matching and Retrieval |
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