Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment
One of the major challenges encountered by current face recognition techniques lies in the difficulties of handling varying poses, i.e., recognition of faces in arbitrary in-depth rotations. The face image differences caused by rotations are often larger than the inter-person differences used in dis...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2018-04-01
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| Series: | EAI Endorsed Transactions on Scalable Information Systems |
| Subjects: | |
| Online Access: | http://eudl.eu/doi/10.4108/eai.13-4-2018.154477 |
| _version_ | 1818116365318356992 |
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| author | Faizan Ullah Sabir Shah Dilawar Shah Abdul Salam Shujaat Ali |
| author_facet | Faizan Ullah Sabir Shah Dilawar Shah Abdul Salam Shujaat Ali |
| author_sort | Faizan Ullah |
| collection | DOAJ |
| description | One of the major challenges encountered by current face recognition techniques lies in the difficulties of handling varying poses, i.e., recognition of faces in arbitrary in-depth rotations. The face image differences caused by rotations are often larger than the inter-person differences used in distinguishing identities. Face recognition across pose, on the other hand, has great potentials in many applications dealing with uncooperative subjects, in which the full power of face recognition being a passive biometric technique can be implemented and utilized. Extensive efforts have been put into the research toward pose-invariant face recognition in recent years and many prominent approaches have been proposed. However, several issues in face recognition across pose still remain open, such as lack of understanding about subspaces of pose variant images, problem intractability in 3D face modelling, complex face surface reflection mechanism, etc. This paper provides a critical survey of researches on image-based face recognition across pose. The existing techniques are comprehensively reviewed and discussed. They are classified into different categories according to their methodologies in handling pose variations. Their strategies, advantages/disadvantages and performances are elaborated. By generalizing different tactics in handling pose variations and evaluating their performances, several promising. |
| first_indexed | 2024-12-11T04:21:21Z |
| format | Article |
| id | doaj.art-87abbe6bc89b480491bad41c49fd29e0 |
| institution | Directory Open Access Journal |
| issn | 2032-9407 |
| language | English |
| last_indexed | 2024-12-11T04:21:21Z |
| publishDate | 2018-04-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Scalable Information Systems |
| spelling | doaj.art-87abbe6bc89b480491bad41c49fd29e02022-12-22T01:21:05ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Scalable Information Systems2032-94072018-04-015161510.4108/eai.13-4-2018.154477Protocol for Systematic Literature Review of Face Recognition in Uncontrolled EnvironmentFaizan Ullah0Sabir Shah1Dilawar Shah2Abdul Salam3Shujaat Ali4Department of Computer Science, Bacha Khan University, Charsadda, KPK, Pakistan; faizanullah@bkuc.edu.pkDepartment of Computer Science, Bacha Khan University, Charsadda, KPK, PakistanDepartment of Computer Science, Bacha Khan University, Charsadda, KPK, PakistanDepartment of Computer Science, Bacha Khan University, Charsadda, KPK, PakistanDepartment of Computer Science, Bacha Khan University, Charsadda, KPK, PakistanOne of the major challenges encountered by current face recognition techniques lies in the difficulties of handling varying poses, i.e., recognition of faces in arbitrary in-depth rotations. The face image differences caused by rotations are often larger than the inter-person differences used in distinguishing identities. Face recognition across pose, on the other hand, has great potentials in many applications dealing with uncooperative subjects, in which the full power of face recognition being a passive biometric technique can be implemented and utilized. Extensive efforts have been put into the research toward pose-invariant face recognition in recent years and many prominent approaches have been proposed. However, several issues in face recognition across pose still remain open, such as lack of understanding about subspaces of pose variant images, problem intractability in 3D face modelling, complex face surface reflection mechanism, etc. This paper provides a critical survey of researches on image-based face recognition across pose. The existing techniques are comprehensively reviewed and discussed. They are classified into different categories according to their methodologies in handling pose variations. Their strategies, advantages/disadvantages and performances are elaborated. By generalizing different tactics in handling pose variations and evaluating their performances, several promising.http://eudl.eu/doi/10.4108/eai.13-4-2018.154477Face recognitionilluminationposefacial expression |
| spellingShingle | Faizan Ullah Sabir Shah Dilawar Shah Abdul Salam Shujaat Ali Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment EAI Endorsed Transactions on Scalable Information Systems Face recognition illumination pose facial expression |
| title | Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment |
| title_full | Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment |
| title_fullStr | Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment |
| title_full_unstemmed | Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment |
| title_short | Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment |
| title_sort | protocol for systematic literature review of face recognition in uncontrolled environment |
| topic | Face recognition illumination pose facial expression |
| url | http://eudl.eu/doi/10.4108/eai.13-4-2018.154477 |
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