Akce ČVUT

Prof. Marc Pollefeys: Semantic 3D reconstruction

12.04.2016   16:00

Obtaining 3D geometric information from images is one of the big challenges of computer vision. It is critical for applications such as robotics, autonomous vehicle navigation and augmented reality.I will first briefly talk about some our recent work on vision-based autonomous micro-aerial vehicles, driverless cars and 3D on mobile devices. While purely geometric models of the world can be
sufficient for some applications, there are also many application that need additional semantic information. In the second part, I will focus on 3D
reconstruction approaches which combine geometric and appearance cues to obtain semantic 3D reconstructions. Specifically, the approaches I will discuss are formulated as multi-label volumetric segmentation, i.e. each voxel gets assigned a label corresponding to one of the semantic classes considered, including free-space. We propose a formulation representing raw geometric and appearance data as unary or high-order (pixel-ray) energy terms on voxels, with class-pair-specific learned anisotropic smoothness terms to regularize the results. We will see how by solving both reconstruction and
segmentation/recognition jointly the quality of the results for both subtasks can be improved and we can make significant progress towards 3D scene understanding.

bio:

Marc Pollefeys is a full professor and head of the Institute for Visual
Computing of the Dept. of Computer Science of ETH Zurich which he joined in 2007. He leads the Computer Vision and Geometry lab. Previously he was with the Dept. of Computer Science of the University of North Carolina at Chapel Hill where he started as an assistant professor in 2002 and became an associate professor in 2005. Before he was a postdoctoral researcher at the Katholieke Universiteit Leuven in Belgium, where he also received his M.S. and Ph.D.
degrees in 1994 and 1999, respectively. His main area of research is computer vision. One of his main research goals is to develop flexible approaches to capture visual representations of real world objects, scenes and events. Dr. Pollefeys has received several prizes for his research, including a Marr prize,
an NSF CAREER award, a Packard Fellowship and a ERC Starting Grant. He is the author or co-author of more than 250 peer-reviewed papers. He was a general chair for ECCV 2014 in Zurich, was one of the program chairs for the IEEE Conf. on Computer Vision and Pattern Recognition 2009. Prof. Pollefeys was on the Editorial Board of the IEEE Transactions on Pattern Analysis and Machine Intelligence, the International Journal of Computer Vision, Foundations and Trends in Computer Graphics and Computer Vision and several other journals. He is an IEEE Fellow.

Místo konání

KN:G-205 (Karlovo nám. 13, building G)

Pořadatel

dr. Tomáš Pajdla

Kontaktní osoba

Mgr. Petra Ivaničová, ivanipet@fel.cvut.cz, 224 35 7487

Podrobnější informace

https://cyber.felk.cvut.cz/seminars/?event=1122