C4.5: programs for machine learning
C4.5: programs for machine learning
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
2D and 3D face recognition: A survey
Pattern Recognition Letters
Recognition of 3D faces with missing parts based on profile networks
Proceedings of the ACM workshop on 3D object retrieval
3D partial face matching using local shape descriptors
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
Face recognition in 2D and 2.5D using ridgelets and photometric stereo
Pattern Recognition
Localized discriminative scale invariant feature transform based facial expression recognition
Computers and Electrical Engineering
Person independent 3D facial expression recognition by a selected ensemble of SIFT descriptors
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes
International Journal of Computer Vision
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A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate each 3D point cloud representing an individual's face around the x, y or z axes, iteratively projecting the 3D points onto multiple 2.5D images at each step of the rotation. Labeled keypoints are then extracted from the resulting collection of 2.5D images, and this much smaller set of keypoints replaces the original face scan and its projections in the face database. Unknown test faces are recognized firstly by performing the same multiview keypoint extraction technique, and secondly, the application of a new weighted keypoint matching algorithm. In an extensive evaluation using the GavabDB 3D face recognition dataset (61 subjects, 9 scans per subject), our method achieves up to 95% recognition accuracy for faces with neutral expressions only, and over 90% accuracy for face recognition where expressions (such as a smile or a strong laugh) and random face-occluding gestures are permitted.