121 citations · 240 across the 9 of their papers we have counts for
3 papers · 1 filter
An Octree-Based Approach towards Efficient Variational Range Data Fusion
Wadim Kehl, Tobias Holl, Federico Tombari +2
Volume-based reconstruction is usually expensive both in terms of memory consumption and runtime. Especially for sparse geometric structures, volumetric representations produce a h…
Hashmod: A Hashing Method for Scalable 3D Object Detection
Wadim Kehl, Federico Tombari, Nassir Navab +2
We present a scalable method for detecting objects and estimating their 3D poses in RGB-D data. To this end, we rely on an efficient representation of object views and employ hashi…
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation
Wadim Kehl, Fausto Milletari, Federico Tombari +2
We present a 3D object detection method that uses regressed descriptors of locally-sampled RGB-D patches for 6D vote casting. For regression, we employ a convolutional auto-encoder…