The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Use of SIFT Features for Face Authentication
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
A Bayesian Similarity Measure for Direct Image Matching
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Generalized elastic graph matching for face recognition
Pattern Recognition Letters
Journal of Cognitive Neuroscience
The CSU face identification evaluation system: its purpose, features, and structure
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Eigenspace-based face recognition: a comparative study of different approaches
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Local feature hashing for face recognition
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Real-time image recognition using HLAC features at 1000 fps
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Face recognition with decision tree-based local binary patterns
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Face recognition using Histograms of Oriented Gradients
Pattern Recognition Letters
Kinship verification from facial images under uncontrolled conditions
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Gradient-based local descriptor and centroid neural network for face recognition
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Spatial feature interdependence matrix (SFIM): a robust descriptor for face recognition
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
High-throughput-derived biologically-inspired features for unconstrained face recognition
Image and Vision Computing
Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments
Proceedings of the 20th ACM international conference on Multimedia
Overlapping local phase feature (OLPF) for robust face recognition in surveillance
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Learning realistic facial expressions from web images
Pattern Recognition
Robust face recognition using the GAP feature
Pattern Recognition
Eigenface-based sparse representation for face recognition
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Local descriptors and similarity measures for frontal face recognition: A comparative analysis
Journal of Visual Communication and Image Representation
Hi-index | 0.10 |
This paper presents a new face recognition algorithm based on the well-known EBGM which replaces Gabor features by HOG descriptors. The recognition results show a better performance of our approach compared to other face recognition approaches using public available databases. This better performance is explained by the properties of HOG descriptors which are more robust to changes in illumination, rotation and small displacements, and to the higher accuracy of the face graphs obtained compared to classical Gabor-EBGM ones.