A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Anisotropic polygonal remeshing
ACM SIGGRAPH 2003 Papers
Tooth Contour Extraction for Matching Dental Radiographs
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Dental Biometrics: Alignment and Matching of Dental Radiographs
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
Salient critical points for meshes
Proceedings of the 2007 ACM symposium on Solid and physical modeling
SGP '05 Proceedings of the third Eurographics symposium on Geometry processing
Hierarchical contour matching for dental X-ray radiographs
Pattern Recognition
Deformation Modeling for Robust 3D Face Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Recognition of Highly Similar 3D Objects in Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification and numbering of teeth in dental bitewing images
Pattern Recognition
Teeth Segmentation and Feature Extraction for Odontological Biometrics
IIH-MSP '10 Proceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Fusion of Matching Algorithms for Human Identification Using Dental X-Ray Radiographs
IEEE Transactions on Information Forensics and Security
Towards automated pose invariant 3D dental biometrics
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
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A 3D dental biometrics framework and a pose invariant dental identification (PIDI) technique are proposed for human identification in this study. As best as we can tell, this study is the first attempt at 3D dental biometrics. Using 3D overcomes a number of key hurdles that plague 2D methods in dental identification. 60 Postmortem (PM) samples and 200 Ante mortem (AM) samples taken from multi ethnic Asian groups (Chinese, Indian and Malay) are used in this study. The PIDI technique includes algorithms for feature extraction, feature description and correspondence. The proposed feature extraction algorithm can extract the salient points from the scanned model of dental cast. The proposed feature description and the correspondence algorithm have been tested and shown to be more robust to rigid transformations compared with the related work. Preliminary experimental result achieves 94% rank-1 accuracy in a human-assisted process, while in an automated identification process, the rank-1 accuracy decreases to 80%. In addition, the developed methodology, as it is also feasible to be applied to identifying severely corrupted dental, could promptly provide a potential candidate list in mass disasters before expert investigation. The high accuracy, fast retrieval speed and the facilitated identification process suggest that the developed 3D framework is more suitable for practical use in dental biometrics applications in the future. The limitations and future work are also presented. It could be used adjunctively with the traditional 2D X-ray radiograph identification scheme to improve the efficiency of current identification process.