GAMES Webinar 2021 – 173期(几何处理专题) | Nicholas Sharp (Carnegie Mellon University)

【GAMES Webinar 2021-173期】(几何处理专题)

报告嘉宾：Nicholas Sharp (Carnegie Mellon University)

报告时间：2021年3月4日晚上8:00（北京时间）

报告题目：Intrinsic Triangulations in Geometry Processing

报告摘要：

Triangle meshes are widely used to represent surfaces in 3D geometry. Intrinsic triangulations depart from the norm with a simple idea: what if instead of representing the geometry of a mesh by the location of its vertices, we used only the length of its edges? This alternate representation provides just the right flexibility to unlock powerful algorithms for a variety of tasks, with particular benefits for robust geometry processing. In this talk, we will introduce the basic theory and practice of intrinsic triangulations, then share advances extending intrinsic triangulations to nonmanifold meshes and point clouds, and even a new algorithm for computing geodesics on surfaces using only edge flips. Throughout, we’ll show applications to classic tasks in geometry processing, where intrinsic triangulations improve accuracy, robustness, and efficiency.

讲者简介：

Nicholas Sharp is a final-year PhD candidate in Computer Science at Carnegie Mellon University, advised by Keenan Crane and supported by an NSF Fellowship. His research is in geometry processing, designing new algorithms and data structures for 3D data, with applications in computer graphics, vision, and 3D machine learning.

讲者个人主页：www.nmwsharp.com

主持人简介：

陈仁杰，中国科学技术大学特任教授。2005年于浙江大学获得学士学位，2010年于浙江大学获得应用数学专业博士学位。2011年至2015年于以色列理工大学和美国北卡罗来纳大学教堂山分校从事博士后研究，2015年至2019年在德国马普计算机所任高级研究员。主要研究方向包括几何处理和建模、计算几何及裸眼3D显示器等。详情请见个人主页: http://staff.ustc.edu.cn/~renjiec

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