Zeyang Xia

Learn More
PURPOSE A three-dimensional (3D) model of the teeth provides important information for orthodontic diagnosis and treatment planning. Tooth segmentation is an essential step in generating the 3D digital model from computed tomography (CT) images. The aim of this study is to develop an accurate and efficient tooth segmentation method from CT images. METHODS(More)
— This paper intends to create a simulation of ma-nipulator and illustrates the methods of how to implement robot control in a short time. Here we complete the grasp and place mission using Gazebo virtual world and Robot Operating System (ROS). ROS is a distributed framework that is widely used in robotics. Considering the advantages of its easier hardware(More)
BACKGROUND AND OBJECTIVE Tooth segmentation from computed tomography (CT) images is a fundamental step in generating the three-dimensional models of tooth for computer-aided orthodontic treatment. Individual tooth segmentation from CT images scanned with contacts of maxillary and mandible teeth is especially challenging, and no method has been reported(More)