Robust face recognition by utilizing colour information and sparse representation
In this paper, we consider the problem of robust face recognition using color information. In this context, sparse representation-based algorithms are the state-of-the-art solutions for gray facial images. We will integrate the existing sparse representation-based algorithms with color information a...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
World Scientific Publishing Company Pty Ltd
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/3747 |
| _version_ | 1848744316834414592 |
|---|---|
| author | Li, Billy Liu, Wan-Quan An, Senjian Krishna, Aneesh |
| author_facet | Li, Billy Liu, Wan-Quan An, Senjian Krishna, Aneesh |
| author_sort | Li, Billy |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we consider the problem of robust face recognition using color information. In this context, sparse representation-based algorithms are the state-of-the-art solutions for gray facial images. We will integrate the existing sparse representation-based algorithms with color information and this integration can improve the previous performances significantly. Furthermore, we propose a new performance metric, namely the discriminativeness (DIS) to describe the recognition effectiveness for sparse representation algorithms. We find out that the richer information in color space can be used to increase the DIS, i.e. enhancing the robustness in face recognition. Extensive experiments have been conducted under different conditions, including various feature extractors, random pixel corruptions and occlusions on AR and GT databases, to demonstrate the advantages of using color information in robust face recognition. Detailed analysis is also included for each experiment to explain why and how color improve the robustness of different sparse representation-based methods. |
| first_indexed | 2025-11-14T05:59:32Z |
| format | Journal Article |
| id | curtin-20.500.11937-3747 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:59:32Z |
| publishDate | 2014 |
| publisher | World Scientific Publishing Company Pty Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-37472017-09-13T14:45:49Z Robust face recognition by utilizing colour information and sparse representation Li, Billy Liu, Wan-Quan An, Senjian Krishna, Aneesh Color face recognition occlusion corruption sparse representation In this paper, we consider the problem of robust face recognition using color information. In this context, sparse representation-based algorithms are the state-of-the-art solutions for gray facial images. We will integrate the existing sparse representation-based algorithms with color information and this integration can improve the previous performances significantly. Furthermore, we propose a new performance metric, namely the discriminativeness (DIS) to describe the recognition effectiveness for sparse representation algorithms. We find out that the richer information in color space can be used to increase the DIS, i.e. enhancing the robustness in face recognition. Extensive experiments have been conducted under different conditions, including various feature extractors, random pixel corruptions and occlusions on AR and GT databases, to demonstrate the advantages of using color information in robust face recognition. Detailed analysis is also included for each experiment to explain why and how color improve the robustness of different sparse representation-based methods. 2014 Journal Article http://hdl.handle.net/20.500.11937/3747 10.1142/S0218001414560047 World Scientific Publishing Company Pty Ltd restricted |
| spellingShingle | Color face recognition occlusion corruption sparse representation Li, Billy Liu, Wan-Quan An, Senjian Krishna, Aneesh Robust face recognition by utilizing colour information and sparse representation |
| title | Robust face recognition by utilizing colour information and sparse representation |
| title_full | Robust face recognition by utilizing colour information and sparse representation |
| title_fullStr | Robust face recognition by utilizing colour information and sparse representation |
| title_full_unstemmed | Robust face recognition by utilizing colour information and sparse representation |
| title_short | Robust face recognition by utilizing colour information and sparse representation |
| title_sort | robust face recognition by utilizing colour information and sparse representation |
| topic | Color face recognition occlusion corruption sparse representation |
| url | http://hdl.handle.net/20.500.11937/3747 |