Efficient 3D dental identification via signed feature histogram and learning keypoint detection
Current methods of dental identification are mainly based on 2D dental radiographs which suffer from speed and accuracy limitations. In this paper, we present an efficient dental identification approach based on 3D dental models. We propose a novel shape descriptor, the Signed Feature Histogram (SFH...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2016
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/7940 https://ink.library.smu.edu.sg/context/sis_research/article/8943/viewcontent/Efficient_3D_dental_identification_via_signed_feature_histogram_and_learning_keypoint_detection.pdf |
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| Institution: | Singapore Management University |
| Language: | English |