Building a Discriminative Dental Database for Dental Image Analysis
نویسندگان
چکیده
This paper presents an autonomous framework for building a real 3-D human teeth database. Firstly, teeth fixed over wax are scanned by using a Cone-beam CT scanner. Then, adaptive Level-set segmentation is used to extract teeth from the wax to build the 3-D model. Finally, point-based 3-D shape registration is used to align different teeth models to minimize global differences represented in scales, rotations, and translations. A total of 280 3-D tooth models have been created to build the database of real human teeth and demonstrate the performance of the proposed framework. E-mail: [email protected] URL: www.cvip.louisville.edu
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