38 citations · 56 across the 2 of their papers we have counts for
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cs.CV2018★ 38 cited
BOP: Benchmark for 6D Object Pose Estimation
Tomas Hodan, Frank Michel, Eric Brachmann +13
We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input image. The training data consists of a texture-mapped 3D object model or images of the obj…
cs.CV2017★ 18 cited
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
Tomas Hodan, Pavel Haluza, Stepan Obdrzalek +3
We introduce T-LESS, a new public dataset for estimating the 6D pose, i.e. translation and rotation, of texture-less rigid objects. The dataset features thirty industry-relevant ob…