Face Detection and Recognition
The detection and recognition of human faces has innumerable applications in security, surveillance, and consumer applications. LIVE has engaged in perceptual aspects of human face detection for several years, including the use of anthropometric features, 3D face recognition, and the use of quality-aware features to improve face detection in difficult, distorted images. Some of the key papers follow:
S. Gupta, M.K. Markey and A.C. Bovik, “Anthropometric 3D face recognition,” International Journal of Computer Vision, vol. 90, no. 3, pp. 331-349, June 2010.
S. Gupta, M. Markey and A.C. Bovik, “Advancing the state of the art in 3D human face recognition,” SPIE Newsroom, [Online]. Available: http://spie.org/x14020.xml, May 2007.
S.J. Gupta, M.K. Markey and A.C. Bovik, “Advances and challenges in 3D and 2D+3D human face recognition,” in Pattern Recognition Research Horizons, E.A. Zoeller, (Ed.), Hauppauge, New York: Nova Science Publishers, pp. 161-200, 2008.
S. Jahanbin, H. Choi and A.C. Bovik, “Passive multimodal face recognition using geodesic and landmark distances,” IEEE Transactions on Information Forensics and Security, vol. 6, no. 4, pp. 1287-1304, December 2011.
S. Gupta, M.K. Markey, K.R. Castleman and A.C. Bovik, Texas 3D Face Recognition Database, August 2009 [Online]. Available : http://live.ece.utexas.edu/research/texas3dfr/index.htm
S. Jahanbin, R. Jahanbin and A.C. Bovik, “Passive three dimensional face recognition using iso-geodesic contours and procrustes analysis,” International Journal of Computer Vision, vol. 105, no. 1, pp. 87-108, doi: 10.1007/s11263-013- 0631-2, October 2013.
S. Gunasekar, J. Ghosh and A.C. Bovik, “Face detection on distorted images augmented by perceptual quality-aware features,” IEEE Transactions on Information Forensics and Security, Special Issue on Facial Biometrics in the Wild, vol. 9, no. 12, pp. 2119-2131, December 2014.
J. Lee, M.C. Fingeret, A.C. Bovik, G.P. Reece, R.J. Skoracki, M.M. Hanasono and M.K. Markey, “Eigen-disfigurement model for simulating plausible facial disfigurement after reconstructive surgery,” BMC Medical Imaging, vol. 15, no. 12, DOI 10.1186/s12880-015- 0050-7, March 2015.