Level: Intermediate

Prerequisites: The course requires the audience to be familiar with basic concepts of geometry, computer graphics, and geometric modeling in 3D. Knowledge of machine learning is also helpful but not necessary.

Presentation Language: English

Intended Audience: Our course is targeted at researchers and students in computer graphics and computer vision who would like to become more familiar with the course topic and related literature. Our aim is to provide a comprehensive review of the state-of-the-art in the use of functionality for shape analysis.

Organizer: Ruizhen Hu is an Assistant Professor at Shenzhen University, China. She received her Ph.D. from the Department of Mathematics, Zhejiang University. Before that, she spent two years visiting Simon Fraser University, Canada. Ruizhen’s research interests are in shape analysis, geometry processing and fabrication. Oliver van Kaick is an Assistant Professor at Carleton University, Ottawa, Canada. He received a Ph.D. from the School of Computing Science at Simon Fraser University (SFU). Oliver was then a postdoctoral researcher at SFU and Tel Aviv University. Oliver's research is concentrated in shape analysis and geometric modeling.

Speaker(s):
Ruizhen Hu, Shenzhen University
Oliver van Kaick, Carleton University

Summary: In this course, we will talk about recent developments that incorporate functionality aspects in the analysis of 3D shapes and scenes, to provide attendees with a summary of the state-of-the-art in this area, including a discussion of key ideas and literature works.