Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graphical models for machine learning and digital communication
Graphical models for machine learning and digital communication
Variational learning in nonlinear Gaussian belief networks
Neural Computation
Example Based Learning for View-Based Human Face Detection
Example Based Learning for View-Based Human Face Detection
Journal of Cognitive Neuroscience
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
EigenSegments: A Spatio-Temporal Decomposition of an Ensemble of Images
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A Biologically Plausible Approach to Cat and Dog Discrimination
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Recognizing Objects by Their Appearance Using Eigenimages
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
Recognizing faces with PCA and ICA
Computer Vision and Image Understanding - Special issue on Face recognition
Bayesian Analysis of Mixtures of Factor Analyzers
Neural Computation
Deterioration of visual information in face classification using Eigenfaces and Fisherfaces
Machine Vision and Applications
Fast Transformation-Invariant Component Analysis
International Journal of Computer Vision
Improving geodesic distance estimation based on locally linear assumption
Pattern Recognition Letters
The EM algorithm for the extended finite mixture of the factor analyzers model
Computational Statistics & Data Analysis
Expression-invariant 3D face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Implementing the expert object recognition pathway
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Discriminant clustering embedding for face recognition with image sets
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Learning appearance and transparency manifolds of occluded objects in layers
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Web user segmentation based on a mixture of factor analyzers
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
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Traditional subspace methods for face recognition compute a measure of similarity between images after projecting them onto a fixed linear subspace that is spanned by some principal component vectors (a.k.a. "eigenfaces") of a training set of images. By supposing a parametric Gaussian distribution over the subspace and a symmetric Gaussian noise model for the image given a point in the subspace, we can endow this framework with a probabilistic interpretation so that Bayes-optimal decisions can be made. However, we expect that different image clusters (corresponding, say, to different poses and expressions) will be best represented by different subspaces. In this paper, we study the recognition performance of a mixture of local linear subspaces model that can be fit to training data using the expectation maximization algorithm. The mixture model outperforms a nearest-neighbor classifier that operates in a PCA subspace.