学术报告:Virtual Objects for Real Scenes

07.08.2015  11:52
  题目: Virtual Objects for Real Scenes 报告人:Prof. Joern Ostermann(德国汉诺威大学信息处理研究所) 报告时间:2015年8月15日上午10点 报告地点:计算机学院楼102  

报告摘要:
The segmentation of foreground objects in camera images is a fundamental step in many computer vision applications. For visual effect creation, the foreground segmentation is required for the integration of virtual objects between scene elements. On the other hand, camera and scene estimation is needed to integrate the virtual objects perspectively correct into the video.
We present the different steps of structure and motion discovery. Precise feature detection, discontinued feature tracks and occlusion detection will be covered in detail. The combination of optical flow for features in consecutive frames and feature point matching for the wide baseline feature connection provides accurate and stable feature tracking. The knowledge of occluded parts of a connected feature track is used to feed an efficient segmentation algorithm which crops the foreground image regions automatically. The presented graph cut based segmentation uses a graph contraction technique to minimize the computational expense. The presented application in the integration of virtual objects into video. For this application, the accurate estimation of camera and scene is crucial. The segmentation is used for the automatic occlusion of the integrated objects with foreground scene content.

 

报告人简介:
Jörn Ostermann studied Electrical Engineering and Communications Engineering at the University of Hannover and Imperial College London, respectively. He received Dipl.-Ing. and Dr.-Ing. from the University of Hannover in 1988 and 1994, respectively. In 1994 and 1995 he worked at AT&T Bell Labs. He was with AT&T Labs - Research from 1996 to 2003. Since 2003 he is Full Professor and Head of the Institut für Informationsverarbeitung at the Leibniz Universität Hannover, Germany.

From 1993 to 1994, he chaired the European COST 211 sim group coordinating research in low bitrate video coding. He chaired the Adhoc Group on Coding of Arbitrarily-shaped Objects in MPEG-4 Video. Since 2008, he is the Chair of the Requirements Subgroup of MPEG (ISO/IEC JTC1 SC29 WG11). Jörn was a scholar of the German National Foundation. In 1998, he received the AT&T Standards Recognition Award and the ISO award. He is a Fellow of the IEEE . Joern served as a Distinguished Lecturer of the IEEE CAS Society and as Chair of the IEEE CAS Visual Signal Processing and Communications Technical Committee (VSPC)      . He published more than 100 research papers and book chapters. He is coauthor of a graduate level text book on video communications. He holds more than 30 patents.

His current research interests are video coding and streaming, 3D modelling, face animation, and computer-human interfaces.