Performance evaluation of shape matching via chord length distribution
Computer Vision, Graphics, and Image Processing
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning to Recognize Faces from Examples
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Face recognition: a convolutional neural-network approach
IEEE Transactions on Neural Networks
Face recognition/detection by probabilistic decision-based neural network
IEEE Transactions on Neural Networks
A Novel Face Recognition Method
AISC '02/Calculemus '02 Proceedings of the Joint International Conferences on Artificial Intelligence, Automated Reasoning, and Symbolic Computation
Depth Weighted Modified Hausdorff Distance for Range Face Recognition
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
The Biometrics Grid: A Solution to Biometric Technologies
IEEE Distributed Systems Online
Classification in data mining for face images using neuro:genetic approaches
International Journal of Artificial Intelligence and Soft Computing
Proposal of an architecture for a biometrics grid
BIS'07 Proceedings of the 10th international conference on Business information systems
An algorithm testbed for the biometrics grid
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Face authentication using the trace transform
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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Much research in human face recognition involves fronto-parallel face images, constrained rotations in and out of the plane, and operates under strict imaging conditions such as controlled illumination and limited facial expressions. Face recognition using multiple views in the viewing sphere is a more difficult task since face rotations out of the imaging plane can introduce occlusion of facial structures. In this paper, we propose a novel image-based face recognition algorithm that uses a set of random rectilinear line segments of 2D face image views as the underlying image representation, together with a nearest-neighbor classifier as the line matching scheme. The combination of 1D line segments exploits the inherent coherence in one or more 2D face image views in the viewing sphere. The algorithm achieves high generalization recognition rates for rotations both in and out of the plane, is robust to scaling, and is computationally efficient. Results show that the classification accuracy of the algorithm is superior compared with benchmark algorithms and is able to recognize test views in quasi-real-time.