A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition
Computer Vision and Image Understanding
Face recognition based on 3D ridge images obtained from range data
Pattern Recognition
3D Face Recognition by Local Shape Difference Boosting
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Complex wavelet structural similarity: a new image similarity index
IEEE Transactions on Image Processing
An efficient 3D face recognition algorithm
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Determining discriminative anatomical point pairings using adaboost for 3D face recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Anthropometric 3D Face Recognition
International Journal of Computer Vision
Robust sparse bounding sphere for 3D face recognition
Image and Vision Computing
A novel framework for automatic 3D face recognition using quality assessment
Multimedia Tools and Applications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper presents a 3D facial recognition algorithm based on the Hausdorff distance metric. The standard 3D formulation of the Hausdorff matching algorithm has been modified to operate on a 2D range image, enabling a reduction in computation from O(N2) to O(N) without large storage requirements. The Hausdorff distance is known for its robustness to data outliers and inconsistent data between two data sets, making it a suitable choice for dealing with the inherent problems in many 3D datasets due to sensor noise and object self-occlusion. For optimal performance, the algorithm assumes a good initial alignment between probe and template datasets. However, to minimize the error between two faces, the alignment can be iteratively refined. Results from the algorithm are presented using 3D face images from the Face Recognition Grand Challenge database version 1.0.