Multiple Face Recognition Using Local Features and Swarm Intelligence

Author:

CHIDAMBARAM Chidambaram1,VIEIRA NETO Hugo2,DORINI Leyza Elmeri Baldo2,LOPES Heitor Silvério2

Affiliation:

1. Santa Catarina State University (UDESC)

2. Federal University of Technology - Paraná (UTFPR)

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference47 articles.

1. [1] X. Tan, S. Chen, Z.H. Zhou, and F. Zhang, “Face recognition from a single image per person: A survey,” Pattern Recognit., vol.39, pp.1725-1745, 2006.

2. [2] M.H. Yang, D.J. Kriegman, and N. Ahuja, “Detecting faces in images: A survey,” IEEE Trans. Pattern Anal. Mach. Intell., vol.24, no.1, pp.34-58, 2002.

3. [3] H. Zhou and G. Schaefer, “Semantic features for face recognition,” Proc. 52nd International Symposium ELMAR 2010, pp.33-36, Sept. 2010.

4. [4] W. Zhou, A. Ahrary, and S.I. Kamata, “Image description with local patterns: An application to face recognition,” IEICE Trans. Inf. & Syst., vol.E95-D, no.5, pp.1494-1505, May 2012.

5. [5] C. Singh, E. Walia, and N. Mittal, “Robust two-stage face recognition approach using global and local features,” The Visual Computer, vol.28, no.11, pp.1085-1098, 2012.

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