1PM - 6PM, April 8, 2011, Västerås, Sweden.
In the past year, novel camera systems like Microsoft's Kinect that provide both color and dense depth images became readily available. There are great expectations that such systems will lead to a boost of new applications in the field of 3D perception which is particularly relevant for robots operating in unstructured environments and under real-world conditions. Research fields that are expected to benefit from RGB-D-based perception include 3D mapping and localization, path planning, navigation, object recognition, people tracking, activity recognition, and human-robot interaction.
The goal of this workshop is to bring together researchers from robotics and computer vision to present and discuss current approaches on 3D perception using RGB-D sensors in robotics. The key outcomes of the workshop will be to establish an overview over a) the currently available sensor hardware, b) the state-of-the-art in 3D perception, c) the possible applications in industry, and d) stimulate a discussion of the key challenges and opportunities of RGB-D-based perception in robotics.
We solicit one-page A4 paper abstract submissions, optionally accompanied by a video both of which will be reviewed by the program committee. Topics of interest include (but are not limited to):
We would especially like to encourage live demos either during the talks or in a special demo session and plan to foster the discussion between the participants in a plenary discussion.
Submission process is closed, thank you very much for a large amount of excellent submissions.
1:00PM Welcome/Introduction (5min)
1:05PM Invited talk: Richard Newcombe - Live Dense Reconstruction with a Single Moving Camera [ presentation ]
2:55PM Poster/demo overview
3:00PM Coffee break (and poster/demo setup)
3:30PM Demos + Poster session (1h)
5:40PM Plenum Discussion (20min)
6.00PM End of Workshop
7:00PM Dinner at restaurant
The workshop is open for everyone. We would kindly ask you to fill-in the following registration form in order to help us estimate the size of the audience group.
dejan.pangercic (at) cs.tum.edu
sturm (at) informatik.uni-freiburg.de