Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Graphics (TOG)
Model-based registration of front- and backviews of rotationally symmetric objects
Computer Vision and Image Understanding - Registration and fusion of range images
3D Human Face Recognition Using Point Signature
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Depth vs. Intensity: Which is More Important for Face Recognition?
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A 3D Facial Expression Database For Facial Behavior Research
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
3D Face Recognition Using 3D Alignment for PCA
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
IEEE Transactions on Pattern Analysis and Machine Intelligence
Incorporating multiple SVMs for automatic image annotation
Pattern Recognition
2D and 3D face recognition: A survey
Pattern Recognition Letters
Integration of local and global geometrical cues for 3D face recognition
Pattern Recognition
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition
International Journal of Computer Vision
A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
Computer Vision and Image Understanding
3D Face Recognition Using Simulated Annealing and the Surface Interpenetration Measure
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust 3D Face Recognition by Local Shape Difference Boosting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Anthropometric 3D Face Recognition
International Journal of Computer Vision
A training-free nose tip detection method from face range images
Pattern Recognition
3D Face Recognition Using Isogeodesic Stripes
IEEE Transactions on Pattern Analysis and Machine Intelligence
The complete gabor-fisher classifier for robust face recognition
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Shape analysis of local facial patches for 3D facial expression recognition
Pattern Recognition
Some Mathematical and Representational Aspects of Solid Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Region Ensemble for 3-D Face Recognition
IEEE Transactions on Information Forensics and Security
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Spatially Optimized Data-Level Fusion of Texture and Shape for Face Recognition
IEEE Transactions on Image Processing
A structured template based 3D face recognition approach
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
An efficient 3D face recognition approach using local geometrical signatures
Pattern Recognition
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We present a novel 3D face recognition approach based on low-level geometric features that are collected from the eyes-forehead and the nose regions. These regions are relatively less influenced by the deformations that are caused by facial expressions. The extracted features revealed to be efficient and robust in the presence of facial expressions. A region-based histogram descriptor computed from these features is used to uniquely represent a 3D face. A Support Vector Machine (SVM) is then trained as a classifier based on the proposed histogram descriptors to recognize any test face. In order to combine the contributions of the two facial regions (eyes-forehead and nose), both feature-level and score-level fusion schemes have been tested and compared. The proposed approach has been tested on FRGC v2.0 and BU-3DFE datasets through a number of experiments and a high recognition performance was achieved. Based on the results of ''neutral vs. non-neutral'' experiment of FRGC v2.0 and ''low-intensity vs. high-intensity'' experiment of BU-3DFE, the feature-level fusion scheme achieved verification rates of 97.6% and 98.2% at 0.1% False Acceptance Rate (FAR) and identification rates of 95.6% and 97.7% on the two datasets respectively. The experimental results also have shown that the feature-level fusion scheme outperformed the score-level fusion one.