6D object pose estimation



Accurate estimation of the 6D pose of an object (3D translation and 3D rotation) is of great importance to many higher-level tasks such as robotic manipulation, augmented reality, and autonomous driving.

The introduction of consumer and industrial grade RGB-D sensors and the advent of deep learning have allowed for substantial improvement in 6D object pose estimation. However, there still remain challenges to be addressed such as robustness against occlusion and clutter, scalability to multiple objects, effective synthesis of training data, and fast and reliable object modelling, including capturing of reflectance properties. Extending contemporary methods to work reliably and with sufficient execution speed in an industrial setting is still an open problem. Many recent methods focus on specific rigid objects, but pose estimation of deformable or articulated objects and of object categories is also an important research direction.

In this workshop, people working on relevant topics in both academia and industry will share up-to-date advances and identify open problems. The workshop will feature several high-quality invited talks, presentations of accepted workshop papers, and the BOP Challenge 2020 on 6D object pose estimation.

Previous workshop editions: 1st edition (ICCV 2015), 2nd edition (ECCV 2016), 3rd edition (ICCV 2017), 4th edition (ECCV 2018), 5th edition (ICCV 2019).

BOP Challenge 2020

We invite submissions to the BOP Challenge 2020 on model-based 6D object pose estimation. This year, we provide BlenderProc4BOP, an open-source and light-weight photorealistic (PBR) renderer, and a set of pre-rendered training images. This addition reduces the entry barrier of the challenge for participants working on learning-based RGB and RGB-D solutions.

Participants of the challenge have the opportunity to document their methods by submitting a short workshop paper. The paper will be reviewed by the organizational committee and accepted if it presents a method with competitive results or distinguishing features. The paper must have exactly 4 pages including references and, if accepted, will be published in the ECCV workshop proceedings.

Workshop Papers

We invite submissions of long papers of unpublished work (14 pages excluding references). We also invite submissions of short papers documenting methods participating in the BOP Challenge 2020 (exactly 4 pages including references). If accepted, both long and short papers will be published in the ECCV workshop proceedings. The long papers will be also presented at the workshop. The papers must follow the format of the main conference (LaTeX template) and should be submitted to the CMT system.

The covered topics include but are not limited to:


Long-paper submission deadline: July 10 July 17, 2020 (11:59PM PST)
Long-paper acceptance notification: July 31, 2020
Long-paper camera-ready deadline: September 14, 2020 (11:59PM PST)
Short-paper submission deadline: August 16, 2020 (11:59PM PST)
Short-paper acceptance notification: TBD
Short-paper camera-ready deadline: TBD
Deadline for submissions to the BOP Challenge 2020: August 16, 2020 (11:59PM UTC)
Workshop date: August 23, 2020


Tomáš Hodaň, Czech Technical University in Prague, hodantom@cmp.felk.cvut.cz
Rigas Kouskouridas, Scape Technologies, rigas@scape.io
Martin Sundermeyer, DLR German Aerospace Center
Tae-Kyun Kim, Imperial College London
Jiří Matas, Czech Technical University in Prague
Carsten Rother, Heidelberg University
Vincent Lepetit, ENPC ParisTech, Technical University Graz
Ales Leonardis, University of Birmingham
Krzysztof Walas, Poznan University of Technology
Carsten Steger​, Technical University of Munich, MVTec
Eric Brachmann, Heidelberg University
Bertram Drost, MVTec
Juil Sock, Imperial College London