报告人：段玉萍教授

报告题目：Curvature Regularization: Models, Algorithms and Applications

报告摘要：

(1) The geometric high-order regularization methods such as Euler’s elatica, mean curvature, and Gaussian curvature, have been intensively studied during the last decades due to their abilities in preserving geometric properties including image edges, corners, and image contrast. However, the dilemma between restoration quality and computational efficiency is an essential roadblock for high-order methods. We propose novel curvature regularization models and develop fast multi-grid algorithms without sacrificing the accuracy for efficiency. Besides, we also extend the application of curvature energies for soft tissue simulation.

(2)An efficient nonlinear mass-spring model is developed by introducing the elastica springs, which measure the soft tissue deformation based on both spring length and curvature. We implement the proposed model as the physical engine for a prototype of anatomical virtual reality, where realistic deformation is rendered at a refresh rate of 33frames/s on a regular personal computer.

报告时间：2022年10月29日上午11:00-14:00

报告形式：腾讯会议；会议号：339-327-358

获取会议密码请发邮件至：mathywj@hit.edu.cn

报告人简介：段玉萍，天津大学应用数学中心教授、博士生导师，2007~2011年在新加坡科技研究局资讯通信研究院，2015年加入天津大学应用数学中心。段玉萍教授的主要研究领域是图像处理工作、医学图像分析和软组织形变模拟，已主持国家自然科学基金委面上和青年项目、天津市科技重大专项与工程项目，参与科技部重点研发项目等，已在IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging, IEEE Journal on Biomedical and Health Informatics等专业权威期刊以及CVPR、MICCAI等专业顶级会议上发表论文五十余篇。