Presentation on theme: "Tooth Segmentation on Dental Meshes Using Morphologic Skeleton"— Presentation transcript:
1 Tooth Segmentation on Dental Meshes Using Morphologic Skeleton Computers & GraphicsCAD/Graphics 2013, Hong KongTooth Segmentation on Dental MeshesUsing Morphologic SkeletonKan WUM.Eng.Li CHENPh.D.School of SoftwareTsinghua University, P. R. of ChinaJing LIPh.D.Yanheng ZHOUPh.D.Department of OrthodonticsPeking University School and Hospital of Stomatology, P. R. of China
3 Contribution an applicable pipeline for dental mesh segmentation avoid complex mesh feature estimationsignificantly reduced user interactionexperiments on various clinical cases of different toothshapes and various levels of crowding problems
4 Problems of Current Work not sufficiently accurateKumar et al.2011affected by feature disturbanceKronfeld et al.2010intensive interaction“3Shape”
5 A Good Dental Segmentation Approach Should locate teeth area automaticallyseparate adjacent teeth automaticallymorphologicskeletonless dependent oncomplex feature estimationsmoothed & fitted boundary
6 ACCURACY EFFICIENCY REDUCED INTERACTION Why Morphologic Skeleton insensitive to feature missing & disturbanceACCURACYsimplified approximation of mesh featuresEFFICIENCYeasy separation of adjacent objectsREDUCED INTERACTION
27 Comparative Results – Published Approaches Kronfeld et al. 2010our approachKumar et al. 2011our approach
28 when user interaction is not sufficiently accurate enough Comparative Results – “3Shape” Software“3Shape” Softwareour approach“3Shape” Softwareour approachwhen user interaction is not sufficiently accurate enough
29 Accuracy Evaluation – Mean Errors The mean errors that compare our results to manually labeled ground truth. The unit is mm.
30 Accuracy Evaluation – Error Distribution the distribution of particular error values across all segmented boundary vertices. The blue, yellow, red lines indicate the ranges of [0, 0.25], [0.25, 0.5], [0.5, 1.5], respectively.
31 User Interaction Evaluation Time consumed by user interactions. The blue and yellow lines indicate manual boundary completion and additional seed adding, respectively. The unit is s
32 Limitationsuser interaction still neededno GPU acceleratingFuture Worka dental mesh benchmarkGPU acceleratingcompletely eliminate user interaction