Contour matching using the affine‐invariant support point set
Moment has been widely used for contour matching. To use the moment to achieve contour matching under affine transformations, the affine‐invariant support point set (SPS) should be constructed first. Then, a novel method of acquiring SPS based on the contour projection (SPS‐CP) is proposed here. For...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-02-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2013.0031 |
| _version_ | 1827817997785366528 |
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| author | Wei Wang Yongmei Jiang Boli Xiong Lingjun Zhao Gangyao Kuang |
| author_facet | Wei Wang Yongmei Jiang Boli Xiong Lingjun Zhao Gangyao Kuang |
| author_sort | Wei Wang |
| collection | DOAJ |
| description | Moment has been widely used for contour matching. To use the moment to achieve contour matching under affine transformations, the affine‐invariant support point set (SPS) should be constructed first. Then, a novel method of acquiring SPS based on the contour projection (SPS‐CP) is proposed here. For an arbitrary selected contour point, the contour is projected onto the line vertical to the vector connecting the contour centroid and the selected point, and the contour points with the sampled projection values are picked up to form the SPS‐CP of the point. SPS‐CP which captures the global structure of the contour is stably affine‐invariant. Experiments on synthetic and real data demonstrate that moments generated from SPS‐CP outperform those generated from SPSs sampled by uniform spacing or affine length. |
| first_indexed | 2024-03-12T00:41:46Z |
| format | Article |
| id | doaj.art-f76959d6d19c41ed9df05b52c3b6c054 |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:41:46Z |
| publishDate | 2014-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-f76959d6d19c41ed9df05b52c3b6c0542023-09-15T07:13:18ZengWileyIET Computer Vision1751-96321751-96402014-02-0181354410.1049/iet-cvi.2013.0031Contour matching using the affine‐invariant support point setWei Wang0Yongmei Jiang1Boli Xiong2Lingjun Zhao3Gangyao Kuang4School of Electronic Science and EngineeringNational University of Defense TechnologyChangsha410073People's Republic of ChinaSchool of Electronic Science and EngineeringNational University of Defense TechnologyChangsha410073People's Republic of ChinaSchool of Electronic Science and EngineeringNational University of Defense TechnologyChangsha410073People's Republic of ChinaSchool of Electronic Science and EngineeringNational University of Defense TechnologyChangsha410073People's Republic of ChinaSchool of Electronic Science and EngineeringNational University of Defense TechnologyChangsha410073People's Republic of ChinaMoment has been widely used for contour matching. To use the moment to achieve contour matching under affine transformations, the affine‐invariant support point set (SPS) should be constructed first. Then, a novel method of acquiring SPS based on the contour projection (SPS‐CP) is proposed here. For an arbitrary selected contour point, the contour is projected onto the line vertical to the vector connecting the contour centroid and the selected point, and the contour points with the sampled projection values are picked up to form the SPS‐CP of the point. SPS‐CP which captures the global structure of the contour is stably affine‐invariant. Experiments on synthetic and real data demonstrate that moments generated from SPS‐CP outperform those generated from SPSs sampled by uniform spacing or affine length.https://doi.org/10.1049/iet-cvi.2013.0031image matchingcontour centroidaffine lengthcontour global structurecontour projectionaffine transformations |
| spellingShingle | Wei Wang Yongmei Jiang Boli Xiong Lingjun Zhao Gangyao Kuang Contour matching using the affine‐invariant support point set IET Computer Vision image matching contour centroid affine length contour global structure contour projection affine transformations |
| title | Contour matching using the affine‐invariant support point set |
| title_full | Contour matching using the affine‐invariant support point set |
| title_fullStr | Contour matching using the affine‐invariant support point set |
| title_full_unstemmed | Contour matching using the affine‐invariant support point set |
| title_short | Contour matching using the affine‐invariant support point set |
| title_sort | contour matching using the affine invariant support point set |
| topic | image matching contour centroid affine length contour global structure contour projection affine transformations |
| url | https://doi.org/10.1049/iet-cvi.2013.0031 |
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