Our BMVC 2014 paper, Simultaneous Mosaicing and Tracking with an Event Camera, has been accepted as an oral presentation. You can now find the paper on our publication page, and here is the link to our submitted video. https://www.youtube.com/watch?v=l6qxeM1DbXU
Monthly Archives: July 2014
Our CVPR, ICRA and IPCAI papers are added to Publications.
Welcome to Zeeshan Zia, a new RA in the group.
June 2013 (READVERTISED!! We are still looking for an excellent candidate…): I have a Post-Doc/RA position available in my Robot Vision Group at Imperial College London. It’s on an exciting new collaborative project which has the aim of an integrated attack on the software, compiler, runtime/operating systems and architecture challenges in manycore computer systems, driven… Read more »
June 2013 (READVERTISED as we are still seeking an excellent candidate!): We have a Post-Doc/RA position available in the Robot Vision Group at Imperial College London. It’s on an exciting new collaborative project which has the aim of an integrated attack on the software, compiler, runtime/operating systems and architecture challenges in manycore computer systems, driven… Read more »
June 2013: The group’s work on SLAM++ led by Renato Salas-Moreno in collaboration with Richard Newcombe, Hauke Strasdat, Paul Kelly and Andrew Davison has received a lot of publicity, including a live demo at the Imperial Festival seen by many hundreds of members of the public, and a feature article in New Scientist (print and… Read more »
April 2013: Welcome to Lukas Platinsky, a new PhD student in the group.
December 2012: Welcome to Hanme Kim, a new RA in the group.
October 2012: We had a successful week at ECCV 2012, where Ankur Handa presented his paper on evaluating high frame-rate camera tracking to much interest. The idea of this work, in collaboration with Richard Newcombe, Adrien Angeli and Andrew Davison, was to answer questions about why we normally run advanced visual tracking algorithms in the… Read more »
July 2012: Well done to Hauke on passing his PhD viva. His PhD thesis, available soon in its final version, gives a detailed account of optimisation-based visual SLAM, comparing this with feature-based techniques and presenting Hauke’s state of the art Double Window Optimisation algorithm for scalable constant-time SLAM.