A Method for Robust Nose Tip Location across Pose Variety in 3D Face Data
CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
Head Pose Estimation from Passive Stereo Images
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Landmark Localisation in 3D Face Data
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Local feature extraction and matching on range images: 2.5D SIFT
Computer Vision and Image Understanding
3-D face detection, landmark localization, and registration using a point distribution model
IEEE Transactions on Multimedia
A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Point-pair descriptors for 3D facial landmark localisation
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Partial matching of interpose 3D facial data for face recognition
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Fast and efficient 3D face recognition using wavelet networks
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Thorax biometrics from millimetre-wave images
Pattern Recognition Letters
Regional registration for expression resistant 3-D face recognition
IEEE Transactions on Information Forensics and Security
Automatic face segmentation and facial landmark detection in range images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Proceedings of the ACM workshop on 3D object retrieval
A training-free nose tip detection method from face range images
Pattern Recognition
Automatic head and facial feature extraction based on geometry variations
Computer-Aided Design
3D human face description: landmarks measures and geometrical features
Image and Vision Computing
Automatic 3D facial region retrieval from multi-pose facial datasets
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
Random Forests for Real Time 3D Face Analysis
International Journal of Computer Vision
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Current 2D face recognition systems encounter difficulties in recognizing faces with large pose variations. Utilizing the pose-invariant features of 3D face data has the potential to handle multiview face matching. A feature extractor based on the directional maximum is proposed to estimate the nose tip location and the pose angle simultaneously. A nose profile model represented by subspaces is used to select the best candidates for the nose tip. Assisted by a statistical feature location model, a multimodal scheme is presented to extract eye and mouth corners. Using the automatic feature extractor, a fully automatic 3D face recognition system is developed. The system is evaluated on two databases, the MSU database (300 multiview test scans from 100 subjects) and the UND database (953 near frontal scans from 277 subjects). The automatic system provides recognition accuracy that is comparable to the accuracy of a system with manually labeled feature points.