Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast algorithm for ICP-based 3D shape biometrics
Computer Vision and Image Understanding
Multi-biometrics 2d and 3d ear recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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According to the limitation of 2D or 3D ear recognition and the complementarity between two recognition strategies, a multimodal ear recognition method based on 2D and 3D ear feature-level fusion is presented in this paper. Firstly, LGBP algorithm is used to describe textural feature of 2D ear and depth feature of 3D ear respectively. Then two feature vectors are concatenated to form a high dimensional fused feature. Finally, the KPCA,ReliefF method is proposed to eliminate the correlation between 2D and 3D ear images and remove the redundancy data. Experimental results show that the multimodal ear recognition outperforms either using 2D or 3D alone, especially under illumination variation, partial occlusion and posture change.