Fast face identification under varying pose from a single 2-D model view
- 1 January 2001
- journal article
- Published by Institution of Engineering and Technology (IET) in IEE Proceedings - Vision, Image, and Signal Processing
- Vol. 148 (4), 248
- https://doi.org/10.1049/ip-vis:20010377
Abstract
One of the key remaining problems in face recognition is that of handling the variability in appearance due to changes in pose. The authors present a simple and computationally efficient 3-D pose recovery methodology. It addresses the computationally expensive problem of current generic 3-D model pose recovery methods and thus is able to be used in real-time applications. Compared with the virtual view methods, the face identification system with the proposed pose recovery method demands much less storage space as it transforms the 2-D rotated face to the 2-D fronto-parallel view for subsequent identification rather than generating multiple virtual views for a single input face. Experiments evaluating the effectiveness of the technique are reported. The systems are compared with human performances and existing techniquesFaculty of Engineering and Information TechnologyNo Full TexKeywords
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