A fast extension for sparse representation on robust face recognition
We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whilst still maintaining performance. Our contributions include: (1) a new 2D extension of SRC algorithm; (2) an incremental...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Springer
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/18320 |
| _version_ | 1848749710648541184 |
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| author | Qiu, Hui-ning Pham, DucSon Venkatesh, Svetha Liu, Wan-quan lai, Jian-huang |
| author2 | A. Salah |
| author_facet | A. Salah Qiu, Hui-ning Pham, DucSon Venkatesh, Svetha Liu, Wan-quan lai, Jian-huang |
| author_sort | Qiu, Hui-ning |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whilst still maintaining performance. Our contributions include: (1) a new 2D extension of SRC algorithm; (2) an incremental computing procedure which can reduce the eigen decomposition expense of each 2D-SRC for sequential input data; and (3) extensive numerical studies to validate the proposed methods. |
| first_indexed | 2025-11-14T07:25:16Z |
| format | Conference Paper |
| id | curtin-20.500.11937-18320 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:25:16Z |
| publishDate | 2010 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-183202023-01-13T07:56:29Z A fast extension for sparse representation on robust face recognition Qiu, Hui-ning Pham, DucSon Venkatesh, Svetha Liu, Wan-quan lai, Jian-huang A. Salah T. Gevers N. Sebe A. Vinciarelli Face Recognition Sparse Representation Compressive Sensing Incremental Learning We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whilst still maintaining performance. Our contributions include: (1) a new 2D extension of SRC algorithm; (2) an incremental computing procedure which can reduce the eigen decomposition expense of each 2D-SRC for sequential input data; and (3) extensive numerical studies to validate the proposed methods. 2010 Conference Paper http://hdl.handle.net/20.500.11937/18320 Springer fulltext |
| spellingShingle | Face Recognition Sparse Representation Compressive Sensing Incremental Learning Qiu, Hui-ning Pham, DucSon Venkatesh, Svetha Liu, Wan-quan lai, Jian-huang A fast extension for sparse representation on robust face recognition |
| title | A fast extension for sparse representation on robust face recognition |
| title_full | A fast extension for sparse representation on robust face recognition |
| title_fullStr | A fast extension for sparse representation on robust face recognition |
| title_full_unstemmed | A fast extension for sparse representation on robust face recognition |
| title_short | A fast extension for sparse representation on robust face recognition |
| title_sort | fast extension for sparse representation on robust face recognition |
| topic | Face Recognition Sparse Representation Compressive Sensing Incremental Learning |
| url | http://hdl.handle.net/20.500.11937/18320 |