A review of recent advances in 3D ear and expression invariant face biometrics
Biometric-based human recognition is rapidly gaining popularity due to breaches of traditional security systems and the lowering cost of sensors. The current research trend is to use 3D data and to combine multiple traits to improve accuracy and robustness. This article comprehensively reviews unimo...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
ACM
2012
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| Online Access: | http://doi.acm.org/10.1145/2187671.2187676 http://hdl.handle.net/20.500.11937/37046 |
| _version_ | 1848754938855817216 |
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| author | Islam, Shams Bennamoun, M. Owens, R. Davies, R. |
| author_facet | Islam, Shams Bennamoun, M. Owens, R. Davies, R. |
| author_sort | Islam, Shams |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Biometric-based human recognition is rapidly gaining popularity due to breaches of traditional security systems and the lowering cost of sensors. The current research trend is to use 3D data and to combine multiple traits to improve accuracy and robustness. This article comprehensively reviews unimodal and multimodal recognition using 3D ear and face data. It covers associated data collection, detection, representation, and matching techniques and focuses on the challenging problem of expression variations. All the approaches are classified according to their methodologies. Through the analysis of the scope and limitations of these techniques, it is concluded that further research should investigate fast and fully automatic ear-face multimodal systems robust to occlusions and deformations. |
| first_indexed | 2025-11-14T08:48:22Z |
| format | Journal Article |
| id | curtin-20.500.11937-37046 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:48:22Z |
| publishDate | 2012 |
| publisher | ACM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-370462019-02-19T05:35:35Z A review of recent advances in 3D ear and expression invariant face biometrics Islam, Shams Bennamoun, M. Owens, R. Davies, R. multimodal recognition detection 3D ear 3D face 3D data representation facial expressions biometrics Biometric-based human recognition is rapidly gaining popularity due to breaches of traditional security systems and the lowering cost of sensors. The current research trend is to use 3D data and to combine multiple traits to improve accuracy and robustness. This article comprehensively reviews unimodal and multimodal recognition using 3D ear and face data. It covers associated data collection, detection, representation, and matching techniques and focuses on the challenging problem of expression variations. All the approaches are classified according to their methodologies. Through the analysis of the scope and limitations of these techniques, it is concluded that further research should investigate fast and fully automatic ear-face multimodal systems robust to occlusions and deformations. 2012 Journal Article http://hdl.handle.net/20.500.11937/37046 http://doi.acm.org/10.1145/2187671.2187676 ACM restricted |
| spellingShingle | multimodal recognition detection 3D ear 3D face 3D data representation facial expressions biometrics Islam, Shams Bennamoun, M. Owens, R. Davies, R. A review of recent advances in 3D ear and expression invariant face biometrics |
| title | A review of recent advances in 3D ear and expression invariant face biometrics |
| title_full | A review of recent advances in 3D ear and expression invariant face biometrics |
| title_fullStr | A review of recent advances in 3D ear and expression invariant face biometrics |
| title_full_unstemmed | A review of recent advances in 3D ear and expression invariant face biometrics |
| title_short | A review of recent advances in 3D ear and expression invariant face biometrics |
| title_sort | review of recent advances in 3d ear and expression invariant face biometrics |
| topic | multimodal recognition detection 3D ear 3D face 3D data representation facial expressions biometrics |
| url | http://doi.acm.org/10.1145/2187671.2187676 http://hdl.handle.net/20.500.11937/37046 |