Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Active shape models—their training and application
Computer Vision and Image Understanding
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A tutorial on learning with Bayesian networks
Learning in graphical models
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Face Recognition by Elastic Bunch Graph Matching
CAIP '97 Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns
Face recognition: component-based versus global approaches
Computer Vision and Image Understanding - Special issue on Face recognition
The BANCA database and evaluation protocol
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Comparison of MLP and GMM classifiers for face verification on XM2VTS
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A GMM parts based face representation for improved verification through relevance adaptation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Face authentication using adapted local binary pattern histograms
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
User authentication via adapted statistical models of face images
IEEE Transactions on Signal Processing
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Parts-Based Face Verification Using Local Frequency Bands
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A novel statistical generative model dedicated to face recognition
Image and Vision Computing
| Hi-index | 0.00 |
In this paper, the problem of face authentication using salient facial features together with statistical generative models is adressed. Actually, classical generative models, and Gaussian Mixture Models in particular make strong assumptions on the way observations derived from face images are generated. Indeed, systems proposed so far consider that local observations are independent, which is obviously not the case in a face. Hence, we propose a new generative model based on Bayesian Networks using only salient facial features. We compare it to Gaussian Mixture Models using the same set of observations. Conducted experiments on the BANCA database show that our model is suitable for the face authentication task, since it outperforms not only Gaussian Mixture Models, but also classical appearance-based methods, such as Eigenfaces and Fisherfaces.