• Full Conference
  • Full Conference 1-Day

Date/Time: 6 December 2016, 02:15pm - 06:00pm
Venue: Sicily 2403, Level 1
Location: The Venetian Macao

Course: Computing and Processing Correspondences with Functional Maps

Level: Intermediate

Prerequisites: The attendees should have a good understanding of the basics of linear algebra, and should have some experience with manipulating geometric objects such as surfaces represented as triangle meshes.

Presentation Language: English

Intended Audience: This course is intended for researchers in computer graphics, geometry processing and computer vision, who are interested in problems related to correspondences between geometric datasets. It would also target practitioners in these areas, who are interested in applying and testing methods for correspondence finding in their specific setting.

Organizer: Maks Ovsjanikov, Assistant Professor, Ecole Polytechnique, PhD from Stanford University and winner of the 2014 Eurographics Young researcher award.
Etienne Corman, PhD Student, Ecole Polytechnique PhD student working with Maks Ovsjanikov
Mirela Ben-Chen, Assistant Professor, Technion University PhD from Technion University, multiple best paper awards including SCA2015, SGP2011 and Eurographics2009
Emanuele Rodola, Postdoctoral Researcher, USI Lugano PhD from University of Venice, Best Paper Award at VMV 2015.
Michael Bronstein, Assistant Professor, USI Lugano Phd from Technion University. Winner of numerous awards, including the Kasher prize, Thomas Schwartz award, multiple best paper awards, and recipient of the ERC Starting grant

Maks Ovsjanikov, Ecole Polytechnique
Etienne Corman, Ecole Polytechnique
Michael Bronstein, Technion University
Mirela Ben-Chen, Technion University
Emanuele Rodolà, Università della Svizzera Italiana (USI Lugano)
Michael Bronstein, Università della Svizzera Italiana (USI Lugano)

Summary: This course will introduce the audience to the techniques for computing and processing correspondences between geometric objects, such as 3D shapes, images or point clouds based on the functional map framework. We will provide the mathematical background, computational methods and various applications of this framework.