Manifold correspondence: a signal processing perspective

February 12, 2015
Michael Bronstein | USI Switzerland

In recent years, geometric data is gaining increasing interest both in the academia and industry. In computer graphics and vision, this interest is owed to the rapid development of 3D acquisition and printing technologies, as well as the explosive growth of publicly-available 3D shape repositories. In machine learning, there is a gradual understanding that geometric structure plays an important role in high-dimensional complicated datasets. In this talk, I will use the problem of manifold correspondence (a fundamental and notoriously hard problem with a wide range of applications in geometric processing, graphics, vision, and learning) as a showcase for classical methods from the domain of signal processing (such as sparse coding, joint diagonalization, and matrix completion) applied to geometric problems. I will show applications to 3D shape correspondence, multi-view clustering, and image labelling.

Speaker Details

Prof. Michael Bronstein is a professor in the Faculty of Informatics at the University of Lugano, Switzerland and a Research Scientist at the Perceptual Computing group, Intel. He got his Ph.D. in Computer Science from the Technion in 2007. He held visiting appointments at Politecnico di Milano (2008), Stanford university (2009), and University of Verona (2010, 2014). His main research interests are theoretical and computational methods in spectral and metric geometry and their application to problems in computer vision, pattern recognition, shape analysis, computer graphics, image processing, and machine learning. In 2012, Michael received the European Research Council (ERC) starting grant and in 2014, he was invited as a Young Scientist to the World Economic Forum New Champions meeting in China, an honor bestowed on thirty world’s leading scientists under the age of 40. Besides academic work, Prof. Bronstein is actively involved in the industry. He was the co-founder and Vice President of technology in the Silicon Valley start-up company Novafora (2006-2009), and one of the main inventors and developers of the 3D sensing technology distributed by Intel under the RealSense brand. RealSense evolved from the acquisition of the Israeli startup Invision in 2012, where he served as one of the principal technologists.