Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning a dictionary of shape-components in visual cortex: comparison with neurons, humans and machines
Face recognition from a single image per person: A survey
Pattern Recognition
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Biologically Inspired Features for Face Processing
International Journal of Computer Vision
Computer Vision and Image Understanding
Robust Handwritten Character Recognition with Features Inspired by Visual Ventral Stream
Neural Processing Letters
Face recognition across pose: A review
Pattern Recognition
A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
Computer Vision and Image Understanding
Artificial Intelligence Review
Biologically inspired feature manifold for gait recognition
Neurocomputing
Local binary patterns for multi-view facial expression recognition
Computer Vision and Image Understanding
Improving mixture of experts for view-independent face recognition using teacher-directed learning
Machine Vision and Applications
Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design and Fusion of Pose-Invariant Face-Identification Experts
IEEE Transactions on Circuits and Systems for Video Technology
Face recognition using kernel direct discriminant analysis algorithms
IEEE Transactions on Neural Networks
Hi-index | 0.00 |
This paper introduces a new method for view-independent face recognition by means of features inspired by the human's visual ventral stream and ensemble of classifiers. Several sets of scale and translation invariant features are first extracted. The feature vectors are then given to a new method of ensemble of classifiers. Diversity is a crucial condition for obtaining accurate ensembles. Diversity in our method is obtained by using bootstrapped replicas of the training vectors. Different training vectors are randomly drawn from the training vectors and are connected together to form diverse training sets. Experiments were performed to validate the method on the CMU-PIE and FERET face databases. Comparison with some of the most related methods indicates that the proposed method yields better recognition rate in view independent face recognition.