An Adaptive Technique for Accurate Feature Extraction from Regular and Irregular Image Data
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
A Critical Assessment of 2D and 3D Face Recognition Algorithms
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Gradient operators for feature extraction and characterisation in range images
Pattern Recognition Letters
Using Dihedral Angles for Edge Extraction in Range Data
Journal of Mathematical Imaging and Vision
Multi-scale edge detection on range and intensity images
Pattern Recognition
Three-Dimensional Occlusion Detection and Restoration of Partially Occluded Faces
Journal of Mathematical Imaging and Vision
A review of recent advances in 3D ear- and expression-invariant face biometrics
ACM Computing Surveys (CSUR)
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We present Face^3, a system for the automatic recognition of people using 2D and 3D images. The system implements several innovative algorithms. A full 3D face detector allows the detection of faces regardless their pose and orientation in the scene. A face restoration module allows the recognition even in presence of occlusions. The recognition is performed using a fusion of 2D and 3D data. Finally, in order to relax the hardware constraints, a simplification algorithm is used to reduce the data complexity of the 3D face models.