sis 18(16): e11

Research Article

Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment

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  • @ARTICLE{10.4108/eai.13-4-2018.154477,
        author={Faizan  Ullah and Sabir  Shah and  Dilawar  Shah and Abdul  Salam and Shujaat  Ali  },
        title={Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={5},
        number={16},
        publisher={EAI},
        journal_a={SIS},
        year={2018},
        month={4},
        keywords={Face recognition, illumination, pose, facial expression .},
        doi={10.4108/eai.13-4-2018.154477}
    }
    
  • Faizan Ullah
    Sabir Shah
    Dilawar Shah
    Abdul Salam
    Shujaat Ali
    Year: 2018
    Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment
    SIS
    EAI
    DOI: 10.4108/eai.13-4-2018.154477
Faizan Ullah1,*, Sabir Shah1, Dilawar Shah1, Abdul Salam1, Shujaat Ali 1
  • 1: Department of Computer Science, Bacha Khan University, Charsadda, KPK, Pakistan
*Contact email: faizanullah@bkuc.edu.pk

Abstract

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.