Speaker: Prof. Wenping Wang, The University of Hong Kong
Time：16:00-17:00, March.8 (Friday)
With the elevated awareness of oral health and improved standard of living, there is an increasing demand for orthodontic treatment. Indeed, malocclusion (e.g. overjet and crowding) is a prevalent health issue because it compromises masticatory function (i.e. chewing) and causes aesthetic concerns. However, the traditional orthodontic treatment is costly, inefficient and of varied quality because the treatment process entails tedious manual operation and the treatment outcome heavily depends on the skills of individual orthodontists. All this calls for advances in digital orthodontics to make orthodontic treatment reliable, efficient, affordable and accessible.
Several imaging and computational technologies are already applied in digital orthodontics, ranging from image acquisition, tooth segmentation, visualization, CAD/CAM and 3D fabrication of customized appliances. In this talk I shall discuss how machine learning can be used to facilitate several key tasks in digital orthodontics. Specifically, some novel methods based on machine learning will be presented for solving the following key problems: (1) detection of cephalometric landmarks for diagnosis; (2) segmentation of teeth in 2D intra-oral scans and 3D cone-beam CT images; (3) determination of the optimal tooth setup to define the treatment goal; and (4) generation of tooth motion from the initial pre-treatment arrangement to the target setup for treatment simulation.
Prof. Wenping Wang is Chair Professor of Computer Science at The University of Hong Kong. His research interests include computer graphics, computer visualization, computer vision, robotics, medical image processing, and geometric modeling. He has published over 140 journal papers in these fields and given over 40 invited talks at international conferences. Prof. Wang is journal associate editor of Computer Aided Geometric Design (CAGD), Computers & Graphics (CAG), Computer Graphics Forum (CGF), IEEE Transactions on Visualization and Computer Graphics (TVCG) (2008-2012), IEEE Transactions on Computers (TC), and IEEE Computer Graphics and Applications (CG&A). He has chaired 20 international conferences, including Pacific Graphics 2012, ACM Symposium on Physical and Solid Modeling (SPM) 2013, SIGGRAPH Asia 2013, and Geometry Summit 2019. Prof. Wang received the Outstanding Researcher Award of HKU in 2013 and the John Gregory Memorial Award in 2017 for contributions in geometric modeling. He is an IEEE Fellow