91 citations · 93 across the 2 of their papers we have counts for
4 papers
Semantic Texture for Robust Dense Tracking
Jan Czarnowski, Stefan Leutenegger, Andrew Davison
We argue that robust dense SLAM systems can make valuable use of the layers of features coming from a standard CNN as a pyramid of `semantic texture' which is suitable for dense al…
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth
John McCormac, Ankur Handa, Stefan Leutenegger +1
We introduce SceneNet RGB-D, expanding the previous work of SceneNet to enable large scale photorealistic rendering of indoor scene trajectories. It provides pixel-perfect ground t…
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition
Edward Johns, Stefan Leutenegger, Andrew J. Davison
A multi-view image sequence provides a much richer capacity for object recognition than from a single image. However, most existing solutions to multi-view recognition typically ad…
Place Recognition with Event-based Cameras and a Neural Implementation of SeqSLAM
Michael Milford, Hanme Kim, Michael Mangan +4
Event-based cameras offer much potential to the fields of robotics and computer vision, in part due to their large dynamic range and extremely high "frame rates". These attributes…