Research And System Development Of Three-dimensional Model Processing Technology On Digital Oral Cavity

With the development of 3D digital technology,the digital oral cavity has been greatly improved.The model processing,simulation and visual analysis of 3D dental models help dentists to predict the treatment results and obtain better treatment planes.This dissertation has made a study on geometry processing technology of digital oral cavity and develops a digital oral cavity prototype system.In the dissertation,we discuss feature detection,undercut filling and model editing.First,this dissertation proposes a dental feature detection algorithm based on DBSCAN(density-based spatial clustering of applications with noise)and K-means hybrid clustering.In this algorithm,average curvatures and height values are used to represent the distances between partition.Compared to other algorithms,the time of operations is much less and the accuracy is significantly higher.Second,after the automatic dental feature detection,this dissertation proposes an undercut filling algorithm based on the normal vector.In this algorithm,the undercut areas of dental are calculated by the angle between the normal vector and stripping direction.And experiments show that this algorithm can accurately fill the undercut areas of dental and reduce the manual processing.Next,this dissertation proposes a Laplacian model editing algorithm based on templates.In this algorithm,2D templates can be mapped on 3D models and the editing effect is smoothed by Laplacian deformation.Finally,by a modular design,the above three algorithms are implemented in a data processing pipeline and a digital oral cavity prototype system is developed.And,in the experiments,we validate the accuracy and effectiveness of the proposed algorithms.