The ability to recognise face images under random pose is a task that is done effortlessly by human beings. However, for a computer system, recognising face images under varying poses still remains an open research area. Face recognition across pose is the ability of a face recognition technology (FRT) to recognise face images in different viewpoints, i.e. recognition of face images that are out of the image plane. In this research work, a short literature survey of 2D techniques which are used to correct pose are discussed.The classification of these techniques is based on three categories, (1) Real-view based matching, (2) Image space pose transformation and (3) Feature space pose transformation. This paper discuss the types of databases used, approaches to correct pose, the types of features extracted.
Reference:
Mokoena, N., Djonon Tsague, H. and Helberg, A. 2016. 2D Methods for pose invariant face recognition. 2016 International Conference on Computational Science and Computational Intelligence (CSCI), 15-17 December 2016, Las Vegas, Nevada, p. 841-846
Mokoena, N., Djonon Tsague, H., & Helberg, A. (2016). 2D Methods for pose invariant face recognition. IEEE. http://hdl.handle.net/10204/9141
Mokoena, Ntabiseng, Hippolyte Djonon Tsague, and A Helberg. "2D Methods for pose invariant face recognition." (2016): http://hdl.handle.net/10204/9141
Mokoena N, Djonon Tsague H, Helberg A, 2D Methods for pose invariant face recognition; IEEE; 2016. http://hdl.handle.net/10204/9141 .
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