| References: [1] Zhao, W., Chellappa, R., Phillips, P.J. & Rosenfeld, A. (2003) Face recognition: Literature survey. ACM Computing Surveys, 35, 399–458.
[2] Aly, M. Face Recognition Using SIFT Features CNS186 Term Project Winter (2006).
[3] Deselaers, T., Rybach, D., Dreuw, P., Keysers, D. & Ney, H. (2005) Face-based image retrieval-one step toward object-based image retrieval. In:, MUSCLE/ImageCLEF Workshop on Image and Video Retrieval Evaluation (edited by H. Müller & A. Hanbury). Vienna, pp. 25–32.
[4] Rakesh, S., Kailash, A., Arora, A., Pulak, P. & Bhabatosh, C. (2012). Face Image Retrieval Based on Probe Sketch Using SIFT Feature Descriptors-1st Indo-Japan conference on perception and machine intelligence.
[5] Database by Georgia Institute of Technology. www.anefian.com/research/face_reco.htm.
[6] Popova, A.A. & Neshov, N.N. (2013) Combining features evaluation approach in content-based image search for medical applications. In: Vol. 473 (edited by R. Kountchev & B. Iantovics): Adv. in Intell. Anal. of Med. Data & Decis. Springer-Verlag: Berlin, Heidelberg, pp. 113–123.
[7] Lux, M. & Chatzichristofis, S. (2008) LIRe: Lucene image retrieval – An extensible java CBIR library. In: Proceedings of the 16th ACM International Conference on Multimedia, Vancouver, Canada, pp. 1085–1088.
[8] Lux, M. (2011) Content based image retrieval with LIRE. In: Proceedings of the 19th ACM, International Conference on Multimedia, Scottsdale, AZ, USA, pp. 735–738.
[9] Hare, J.S., Samangooei, S. & Dupplaw, D. (2011) OpenIMAJ and ImageTerrier: Java libraries and tools for scalable multimedia analysis and indexing of images. ACM Multimedia, 691–694. |
