Affiliation:
1. U.S. National Library of Medicine, USA
2. Central Washington University, USA
Abstract
Despite the many advances in face recognition technology, practical face detection and matching for unconstrained images remain challenging. A real-world Face Image Retrieval (FIR) system is described in this paper. It is based on optimally weighted image descriptor ensemble utilized in single-image-per-person (SIPP) approach that works with large unconstrained digital photo collections. The described visual search can be deployed in many applications, e.g. person location in post-disaster scenarios, helping families reunite quicker. It provides efficient means for face detection, matching and annotation, working with images of variable quality, requiring no time-consuming training, yet showing commercial performance levels.
Reference41 articles.
1. Face recognition with local binary patterns.;T.Ahonen;Proceedings of the European Conference on Computer Vision,2004
2. A survey: Face recognition techniques under partial occlusion.;A.Azeem;Int. Arab J. Inf. Technol.,2014
3. SURF: Speeded up robust features.;H.Bay;European Conference on Computer Vision,2006
4. A REVIEW OF FACE RECOGNITION METHODS
5. Beveridge, J. R., Phillips, P. J., Bolme, D. S., Draper, B. A., Givens, G. H., Lui, Y. M., ... & Flynn, P. J. (2013). The challenge of face recognition from digital point-and-shoot cameras. Proceedings of the 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS) (pp. 1–8). doi:10.1109/BTAS.2013.6712704
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