Local image descriptor based on spectral embedding
This study presents a local image descriptor based on spectral embedding. Specifically, the spectra of line graph are used to represent image edges, corners and edge points with big curvature. The authors theoretically analyse and experimentally verify that the spectra of line graph are robust to no...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-04-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2014.0124 |
| _version_ | 1797684820339326976 |
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| author | Pu Yan Jun Tang Ming Zhu Dong Liang |
| author_facet | Pu Yan Jun Tang Ming Zhu Dong Liang |
| author_sort | Pu Yan |
| collection | DOAJ |
| description | This study presents a local image descriptor based on spectral embedding. Specifically, the spectra of line graph are used to represent image edges, corners and edge points with big curvature. The authors theoretically analyse and experimentally verify that the spectra of line graph are robust to noise and are invariant to rotation and linear intensity changes. Based on such a fact, some local image descriptors are constructed using the spectra of line graph. Comparative experiments demonstrate the effectiveness of the proposed descriptor and its superiority to some state‐of‐the‐art descriptors under image rotation, image blur, viewpoint change, illumination change, JPEG compression and noise. |
| first_indexed | 2024-03-12T00:36:15Z |
| format | Article |
| id | doaj.art-89abf8aff44e46059c625b99028aa08b |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:36:15Z |
| publishDate | 2015-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-89abf8aff44e46059c625b99028aa08b2023-09-15T09:37:33ZengWileyIET Computer Vision1751-96321751-96402015-04-019227828910.1049/iet-cvi.2014.0124Local image descriptor based on spectral embeddingPu Yan0Jun Tang1Ming Zhu2Dong Liang3School of Electronics and Information EngineeringAnhui UniversityHefei230601People's Republic of ChinaSchool of Electronics and Information EngineeringAnhui UniversityHefei230601People's Republic of ChinaSchool of Electronics and Information EngineeringAnhui UniversityHefei230601People's Republic of ChinaSchool of Electronics and Information EngineeringAnhui UniversityHefei230601People's Republic of ChinaThis study presents a local image descriptor based on spectral embedding. Specifically, the spectra of line graph are used to represent image edges, corners and edge points with big curvature. The authors theoretically analyse and experimentally verify that the spectra of line graph are robust to noise and are invariant to rotation and linear intensity changes. Based on such a fact, some local image descriptors are constructed using the spectra of line graph. Comparative experiments demonstrate the effectiveness of the proposed descriptor and its superiority to some state‐of‐the‐art descriptors under image rotation, image blur, viewpoint change, illumination change, JPEG compression and noise.https://doi.org/10.1049/iet-cvi.2014.0124local image descriptorspectral embeddingline graph spectraimage edgeimage corneredge point |
| spellingShingle | Pu Yan Jun Tang Ming Zhu Dong Liang Local image descriptor based on spectral embedding IET Computer Vision local image descriptor spectral embedding line graph spectra image edge image corner edge point |
| title | Local image descriptor based on spectral embedding |
| title_full | Local image descriptor based on spectral embedding |
| title_fullStr | Local image descriptor based on spectral embedding |
| title_full_unstemmed | Local image descriptor based on spectral embedding |
| title_short | Local image descriptor based on spectral embedding |
| title_sort | local image descriptor based on spectral embedding |
| topic | local image descriptor spectral embedding line graph spectra image edge image corner edge point |
| url | https://doi.org/10.1049/iet-cvi.2014.0124 |
| work_keys_str_mv | AT puyan localimagedescriptorbasedonspectralembedding AT juntang localimagedescriptorbasedonspectralembedding AT mingzhu localimagedescriptorbasedonspectralembedding AT dongliang localimagedescriptorbasedonspectralembedding |