An Evaluation of Multimodal 2D+3D Face Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching 2.5D Face Scans to 3D Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
Improved 3D assisted pose-invariant face recognition
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
Computer Vision and Image Understanding
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Face recognition with assistance of 3D models has been a successful approach recently. In this paper, we develop a face recognition system fusing 2D and 3D face information. First, the HarrLBP representation is proposed to represent the 2D faces. Then, the 3D morphable model (3DMM) is employed to estimate the 3D shape for the given 2D face, and five kinds of 3D facial geometrical features are extracted from the virtual 3D facial meshes to assist the face recognition. Finally, we fuse the 2D HarrLBP and the five 3D features under a linear self-adaptive weight scheme to promote the final recognition efficiency. The experimental results on ORL and JAFFE2 face database show the good performance of the proposed fusion method, and demonstrate that our method is robust to the facial expressions and poses to a certain extent.