[visionlist] MVR3D 2017: ICCV Workshop on Multiview Relationships in 3D Data – Call For PapersPosted: June 8, 2017
CALL FOR PAPERS (CfP)
ICCV International Workshop on Multiview Relationships in 3D Data (MVR3D)29 October 2017mvr3d.github.io
We kindly apologize for multiple copies.
Venue & Contact
Venue: Lungomare Guglielmo Marconi, 30, 30126 Lido di Venezia – Venice, Italy
Please find below our strict deadlines for paper submission and notifications.
• Paper submission: July 24, 2017
• Notification of acceptance: August 18, 2017
• Camera ready: August 23, 2017
• Workshop date: October 29, 2017
Thanks to our supporters, our generous awards will include:
• Professional license for 3DF Zephyr software, sponsored by 3D Flow, granted to the best paper
• Monetary prize(s) for selected paper(s), sponsored by Siemens AG
• A RealSense camera, sponsore by Intel, granted to the best student paper
• First authors of all accepted papers receive licenses for the light version of 3DF Zephyr software, sponsored by 3D Flow
The recent improvements in the 3D sensing technologies have caused a remarkable amplification in the utilization of 3D data. 3D information has found tremendous use in Autonomous Driving, 3D Mapping, Quality Control, Drones and UAVs or Robot Guidance to name but a few applicative domains. These applications typically fuse different modalities such as range images, stereo triangulations, structure-from-motion reconstructions or laser scans. A common flexible representation governing all these are point clouds. Thus, in many of the applications that rely on multiple 3D acquisitions, good registration of point clouds is a prerequisite. Yet, when unstructured dense scans of large scenes are of concern, establishing the alignment in a fully automatic manner is far from being trivial — a difficulty that is exacerbated when the scans in question are allowed to undergo locally non-rigid deformations due to mis-calibration of the capturing device or object movement.
In such a complex scenario, researchers are now taking on the challenge of accurately auto-stitching tens of millions of unstructured/structured points that include symmetries, self-similarities and that do not admit scan-order constraints. This workshop will be dedicated to exploring the theoretical and practical aspects of obtaining multi-view global alignment and registration of scans captured by any 3D data modality. Our main objective is to gather together industry experts, academic researchers, and practitioners of 3D data acquisition and scene reconstruction into a lively environment for discussing methodologies and challenges raised by the emergence of large-scale 3D reconstruction applications; as a targeted topic venue, this workshop will offer participants a unique opportunity to network with a diverse but focused research community.
TopicsThe goal of this workshop is to push the frontier in the area of global multi-scan alignment. Focal points for discussions and solicited submissions include but are not limited to:
Multiview registration using scene priors
Global point cloud alignment
Learning methods for correspondence estimation
3D Object reconstruction from multiple views
Joint registration and segmentation of multiple scans
Joint matching of multiple non-rigid surfaces
Multiview object detection
Multi-object Instance reconstr
Feature descriptors for multiview 3D matching
Multiview pose estimation
Joint processing of multiple point clouds
Pose averaging and error diffusion on graphs
Multiview stitching of 3D scans on mobile and embedded devices
Practical applications of multiple scan registration on large scale settings
Datasets and methods for ground truth acquisition
Our invited speakers come from top research institutions and companies around the globe, and are leading figures in the topics covered by the workshop:
Andrew Fitzgibbon, Partner Scientist, Microsoft Research
Alex Bronstein, Associate Professor, Tel-Aviv University
Vladlen Koltun, Principal Scientist, Intel
Radu Horaud, Senior Research Scientist, INRIA
Andreas Nüchter, Professor for Telematics, Julius-Maximilians
Konrad Schindler, Professor, E
Chrisopher Zach, Research Scientist, Toshiba Europe
Luc Robert, Software Architect, Fellow, Bentley
We are looking forward to submissions, following the enlisted guidelines:
Submitted papers should not have been published, accepted or under review elsewhere.
The submissions can be up to 8 pages (excluding references).
All the papers must be submitted using the templates provided on our webpages.
All the submissions will be subject to double-blind review process. Therefore author names, affiliations, emails, personal acknowledgements, etc. should be removed from the paper.
Every accepted paper requires that at least one author has a workshop-inclusive ICCV registration.
Here are further detailed guidelines.
Published papers will be included in ICCV 2017 proceedings.
Here are the humble people behind MVR3D 2017:Tolga Birdal, Technical University of Munich
Emanuele Rodolà, Università della Svizzera Italiana
Gul Varol, INRIA
Slobodan Ilic, Siemens AG
Umberto Castellani, University of Verona
Andrea Torsello, Ca’ Foscari University of Venice
Looking forward to meeting in Venice!
On behalf of all MVR3D organizers,