A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition
Computer Vision and Image Understanding
3-D face detection, landmark localization, and registration using a point distribution model
IEEE Transactions on Multimedia
A 3D face recognition algorithm using histogram-based features
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
3D facial landmark localization via a local surface descriptor HoSNI
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Feature reduction for efficient object detection via l1-norm latent SVM
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, we presented a novel approach for automatic 3D face verification from range data. The method consists of range data registration and comparison. There are two steps in registration procedure: the coarse step conducting the normalization by exploiting a priori knowledge of the human face and facial features, and the fine step aligning the input data with the model stored in the database by the partial directed Hausdorff distance. To speed up the registration, a simplified version of the model is generated for each model in the model database. During the face comparison, the partial Hausdorff distance is employed as the similarity metric. The experiments are carried out on a database with 30 individuals and the best EER of 3.24% is achieved.