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Double Window Optimisation for Constant Time Visual SLAM

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Published on Aug 12, 2011

Results from the paper presented at ICCV 2011 by Hauke Strasdat, Andrew Davison, Jose Maria Montiel (University of Zaragoza) and Kurt Konolige (Willow Garage) on a flexible new optimisation framework for visual SLAM which achieves both high local accuracy and high scalability due to a double window approach. The video shows various applications in monocular, stereo and RGBD SLAM.

The source code is availabel here: https://github.com/strasdat/ScaViSLAM

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