|13:40||invited talk 1: Slobodan Ilic (TU Munich, Siemens AG), Domain Adaptation for 6D Object Pose Recovery from Synthetic Data|
|14:10||invited talk 2: Eric Brachmann (Heidelberg University), Robust Pose Optimization Made Differentiable, SLIDES, PHOTO|
|14:40||oral presentations of workshop papers (each is 6 min + 1 min for questions)
|16:00||invited talk 3: Vincent Lepetit (Uni. de Bordeaux), 3D Pose Estimation and 3D Model Retrieval for Objects in the Wild, SLIDES|
|16:30||invited talk 4: Matthias Nießner (TU Munich), 9DOF Scan2CAD Alignment in 3D Scans, SLIDES|
|17:00||results of the BOP Challenge 2019: Tomáš Hodaň (CTU in Prague), SLIDES, SLIDES (short version)|
|17:20||awards, discussion, closing|
|17:30||poster session (workshop papers, extended abstracts, invited posters)|
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 a challenge on 6D object pose estimation from RGB/RGB-D images.
We invite submissions to the BOP Challenge 2019.
We invite submissions of 1) papers of unpublished work and 2) extended abstracts of preliminary or already published work. The papers (8 page limit) will be peer-reviewed. If accepted, the papers will be published in the ICCV workshop proceedings, which will be archived in the IEEE Xplore Digital Library and the CVF Open Access, and presented as orals or posters at the workshop. Accepted extended abstracts will be presented as posters (the size of panels is 1950mm (width) x 950mm, i.e. the same as for the main conference). The workshop paper format follows the one of the main conference. Papers should be submitted to the CMT system and extended abstracts by e-mail to firstname.lastname@example.org.
The covered topics include but are not limited to:
Paper submission deadline: August 2, August 11, 2019 (11:59PM PST)
Paper acceptance notification: August 23, 2019
Camera-ready submission deadline: August 29, 2019 (11:59PM PST)
Deadline for submissions to the BOP Challenge 2019: October 14, October 21, 2019 (11:59PM PST)
Extended abstract submission deadline: October 21, 2019
Workshop date: October 28, 2019
Tomáš Hodaň, Czech Technical University in Prague, email@example.com
Rigas Kouskouridas, Scape Technologies, firstname.lastname@example.org
Tae-Kyun Kim, Imperial College London
Jiří Matas, Czech Technical University in Prague
Carsten Rother, Heidelberg University
Vincent Lepetit, Universite de Bordeaux
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