Face Recognition Project
Face Detection, 2D and 3D Face Recognition, Biometrics.
PhD Research Student
Advanced Computer Architecture Group
Department of Computer Science
The University of York
Face Recognition as a biometric.
The Eigenface based method of Face Recognition.
3D Face Recognition.
3D Face Recognition - Graph Matcher (login required).
Current research also includes the following (information regarding which, will become available shortly):
Face Recognition: A Literature Review
Research area literature review in PowerPoint (1.61MB)
Evaluation of Image Pre-processing Techniques for Eigenface Based Face Recognition.pdf
A research paper evaluating the improvements gained by use of various image pre-processing techniques, when applied to the Eigenface based method of face recognition. (413KB)
Evaluation of Image Pre-processing Techniques for Eigenface Based Face Recognition.ppt
A short PowerPoint presentation (1.25MB)
Face Recognition: A Comparison of Appearance-Based Approaches.pdf
A research paper presented at DICTA 2003, comparing three methods of face recognition, namely the eigenface, fisherface and direct correlation methods, evaluating the improvements introduced to each method by the use of image pre-processing techniques (554KB)
Face Recognition: A Comparison of Appearance-Based Approaches.ppt
A short PowerPoint presentation (1.53MB)
Combining multiple face recognition systems using Fisher’s linear discriminant.ps
A research paper presented at the SPIE Defense and Security Symposium 2004, describing a method of utilising multiple 2D face spaces, with the discriminant as criteria for creating a more effective face recognition system (817KB)
Three-Dimensional Face Recognition: An Eigensurface Approach.pdf
A research paper describing the application of PCA techniques to three dimensional face data for recognition, evaluating the effectiveness of a range of surface representations (224KB)
Three-Dimensional Face Recognition: A Fishersurface Approach.pdf
A research paper presented at ICIAR 2004 describing the use of PCA combined with LDA techniques, as applied in the fisherface method of face recognition, to three dimensional face data, evaluating the effectiveness of a range of surface representations and distance metrics when compared with the eigensurface method (487KB)
Three-Dimensional Face Recognition Using Surface Space Combinations.pdf
A research paper presented at the BMVC 2004 describing the state-of-the-art in three dimensional face recognition, combining multiple surface space representations of 3D face data, in order to create a more effective face recognition system (342KB)
Three-Dimensional Face Recognition Using Surface Space Combinations.ppt
A short PowerPoint presentation (3.04MB)
The AR Face Database (126 people, 26 colour images of each person, RAW format)
MIT Face Database (many scenes containing faces)
The University of Stirling Face Database (image collection for psychological experiments, with search facility)
The UMIST Face Database (564 images of 20 people covering a wide range of orientations)