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Georgia Tech face database (128MB) contains images of 50 people taken in two or three sessions between

06/01/99 and 11/15/99 at the Center for Signal and Image Processing at  Georgia Institute of Technology.

All people in the database are represented by 15 color JPEG images with cluttered background taken at resolution

640x480 pixels. The average size of the faces in these images is 150x150 pixels. The pictures show frontal

and/or tilted faces with different facial expressions, lighting conditions and scale. Each image is manually labeled

to determine the position of the face in the image. The set of label files is available here. The Readme.txt file gives

more details about the database.  The face images with the background removed using the above label files is

available here (15.9MB). Please check references (year 2000 and more recent) below for results obtained on this

database.

 

Send questions or feedback about Georgia Tech face database by email.

 


  Publications

 

·         Ling Chen, Hong Man and Ara V. Nefian, “Face recognition based multi-class mapping of Fisher scores”, 

           Pattern Recognition, Special issue on Image Understanding for Digital Photographs, March 2005.[pdf]

·         Navin Goel, George Bebis and Ara V. Nefian, “Face recognition experiments with random projections”, 

           SPIE Conference on Biometric Technology for Human Identification 2005.[pdf]

·         Ara V. Nefian “Embedded Bayesian networks for face recognition”, IEEE International Conference on 

           Multimedia and Expo, August 2002. [pdf]

·         Ara V. Nefian and Monson H. Hayes, “Maximum likelihood training of the embedded HMM for face detection 

           and recognition”, IEEE International Conference on Image Processing 2000. [pdf]

·         Ara V. Nefian and Monson H. Hayes III, “An embedded HMM based approach for face detection and 

           recognition”, IEEE International Conference on Acoustic Speech and Signal Processing 1999. [pdf]

·         Ara V. Nefian and Monson H. Hayes III, “Face recognition using an embedded HMM”, IEEE Conference 

           on Audio and Visual-based Person Authentication 1999. [pdf]

·         Ara. V. Nefian and Monson H. Hayes III, “Face detection and recognition using Hidden Markov Models”, 

           IEEE International Conference on Image Processing1998. [pdf]

·         Ara. V. Nefian and Monson H. Hayes III, “Hidden Markov Models for face recognition”, 

           IEEE International  Conference on Acoustic Speech and Signal Processing 1998. [pdf]      

·         Ara V. Nefian, Mehdi Khosravi and Monson H. Hayes III, “Real-time human face detection from 

           uncontrolled   environments”, SPIE Visual Communications on Image Processing 1997. [pdf]

 


Thesis

 

·         Ara V. Nefian ,"A hidden Markov model based approach for face detection and recognition", PhD Thesis, 1999. [pdf]

·         Ara V. Nefian, "Statistical approaches to face recognition", Thesis Proposal 1996. [pdf]