Algorithms for clustering data
Algorithms for clustering data
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dimensionality reduction of symbolic data
Pattern Recognition Letters
Journal of Cognitive Neuroscience
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Face recognition using Intrinsicfaces
Pattern Recognition
Symbolic kernel fisher discriminant method with a new RBF kernel function for face recognition
Machine Graphics & Vision International Journal
Face recognition technique using symbolic linear discriminant analysis method
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
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A face recognition technique based on symbolic PCA approach is presented in this paper. The proposed method transforms the face images by extracting knowledge from training samples into symbolic objects, termed as symbolic faces. Symbolic PCA is employed to compute a set of subspace basis vectors for symbolic faces and then to project the symbolic faces into the compressed subspace. New test images are then matched with the images in the database by projecting them onto the basis vectors and finding the nearest symbolic face in the subspace. The feasibility of the new symbolic PCA method has been successfully tested for face recognition using ORL database. As compared to eigenface method, the proposed method requires less number of features to achieve the same recognition rate.