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Robust SFM and SLAM in Challenging Environments
Date:2016/12/21     Browse:420
Seminar Topic: Robust SFM & SLAM in Challenging Environments

Speaker: Guofeng Zhang
Time: Dec. 21, 1:00 p.m. - 2:00 p.m.
Venue:  Room 1A-200, SIST Building

Abstract: 
Although SFM and SLAM have achieved great success in the past decade, several critical issues are not adequately addressed, which greatly restrict their applications in practice. For example, how to efficiently obtain long and accurate feature tracks and close complex loops for multiple sequences? How to efficiently perform global bundle adjustment for large datasets with limited memory space? How to perform robust SLAM in dynamic environments? How to handle fast motion and strong rotation? In this talk, I will introduce our recent works which address these key issues. A live AR demo on a mobile device and a set of applications will be presented.

Biography:  
章国锋,男,1981年生,博士,浙江大学计算机学院副教授,博士生导师,中国计算机学会计算机视觉专委会委员。主要从事摄像机跟踪、三维重建、增强现实、视频分割与编缉等方面的研究工作,已在计算机学会A/B类期刊和会议上发表论文19篇。尤其在同时定位与地图构建和三维重建方面的研究取得了一系列重要成果,研制了一系列软件(ACTS, LS-ACTS, RDSLAM, RKSLAM等)并在网上发布供大家下载使用(http://www.zjucvg.net),受到了国内外同行的广泛关注和好评。作为项目/课题负责人承担了1项国家重点研发计划课题、3项国家自然科学基金项目,获8项授权国家发明专利、5项软件著作权。获2010年度计算机学会优秀博士学位论文奖,2011年度全国百篇优秀博士学位论文奖,以及2011年度教育部高等学校科学研究优秀成果奖科学技术进步奖一等奖(排名第4)。

Seminar 16089