报告人: Xue-Cheng Tai（Hong Kong Baptist University）

报告题目: Convex shape prior for image segmentation problem
报告摘要：For many applications, we need to use techniques to represent convex shapes and objects. In this work, we use level set method to represent shapes and find a necessary and sufficient condition on the level set function to guarantee the convexity of the represented shapes. We take image segmentation as an example to apply our techniques. Efficient numerical algorithm is developed to solve the variational model.In order to improve the performance of segmentation for complex images, we also incorporate landmarks into the model. One option is to specify points that the object boundary must contain. Another option is to specify points that the foreground (the object) and the background must contain.
Numerical experiments on differentimages validate the efficiency of the proposed models and algorithms. We want to emphasis that the proposed technique could be used for general shape optimization with convex shapes. For other applications, the numerical algorithms need to be extended and modified.This talk is based on joint works with S. Luo, S. Yan, J. Liu, Yang Wang and H. Huang.
报告人简介:香港浸会大学教授，挪威卑尔根大学数学系终身教授，曾担任挪威奥斯陆大学国家应用数学中心和挪威综合石油研究中心CIPR兼职教授，计算数学与科学工程计算、图像处理与分析领域国际知名学者。因其在科学计算方面的突出成就，曾获得第八届冯康科学计算奖和新加波南洋科研卓越成就奖。台教授研究领域主要包括偏微分方程的数值方法、优化技术、计算机视觉以及图像处理等，他是SIAM J. Image Scienc., J. Mathematical Imaging and Vision, Inverse problems and imaging 等多个国际知名期刊的编委成员， 在International Journal of Computer Vision，SIAM J. Imaging Science，SIAM J. Sci. Comput.，IEEE Trans. on Image Processing， IEEE Trans. on Visualization and Computer Graphics，SIAM J. Numer. Anal. 等国际顶级杂志和CVPR、ECCV等国际顶级会议上共发表多篇高质量的论文。 担任多个国际会议的特邀报告人，组委和大会主席。

报告时间：2019年11月21日（星期四）下午4：00-6：00

报告地点：科技楼南楼602会议室