Non-isometric shape correspondence: functional, pointwise and everything in between
Shape correspondence is a cornerstone of many shape analysis applications. When the shapes are similar semantically, yet are very different geometrically, e.g. a cow and a giraffe, finding a correspondence between them is a difficult task. I will discuss recent approaches to the problem of non-isometric shape correspondence, focusing on the challenges and the main insights that helped us address them. I will additionally mention interesting open problems, and some stepping stones towards future directions.
Bio: Mirela Ben-Chen is an Associate Professor at the Center for Graphics and Geometric Computing of the Computer Science Department, at the Technion – Israel Institute of Technology.
She received her Masters and PhD degrees in Computer Science from the Technion, and spent three years at Stanford University as a Fulbright Postdoctoral Scholar. Mirela is interested in modeling and understanding the geometry of shapes. She uses mathematical tools, such as discrete differential geometry, numerical optimization and harmonic analysis, for applications such as shape correspondence, browsing shape collections and fluid simulation on surfaces. She has received multiple best paper awards and the Science Prize of the German Technion Society.