Geometry Processing

几何处理

• 批准号: CRC-2016-00122
• 负责人: Jacobson, Alec
• 金额: $ 8.74万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693183
• 关键词: Geometry; Processing

Geometry processing interprets three-dimensional curves and surfaces as signals. Like audio and image data, geometric data has exploded in availability. Unlike audio and images, geometry is not seeing the full application of big data analytics and modern machine learning. The core roadblock is lack of ro- bustness in the geometry processing toolbox. Prof. Jacobson will bring geometry processing up to speed via three parallel but complementary tracks:1. Robust algorithms for recovering structure from unstructured, noisy geometric representations;2. Robust numerical methods for solving partial differential equations on real-world geometric data; and3. Robust user interfaces for direct manipulation and creation of geometric data.

几何处理将三维曲线和表面解释为信号。像音频和图像数据一样，几何数据在可用性中爆炸。与音频和图像不同，几何形状没有看到大数据分析和现代机器学习的完整应用。核心障碍是几何处理工具箱中缺乏易萧条。雅各布森教授将通过三个平行但互补的轨道将几何处理加速：1。可从非结构化的嘈杂几何表示恢复结构的鲁棒算法； 2。可在现实世界几何数据上求解部分微分方程的强大数值方法；和3。可直接操作和创建几何数据的强大用户界面。