DynaVis: The First International Workshop on Dynamic Scene Reconstruction Call for Papers

DynaVis: The First International Workshop on Dynamic Scene Reconstruction

https://dynavis.github.io/

Workshop at CVPR 2019, Long Beach California

Organizers: Armin Mustafa, Marco Volino, Dan Casas, 
          Michael Zollhofer, Adrian Hilton

Keynote Speakers

    Prof. Christian Theobalt - 
           Head of the research group Graphics, Vision, & Video 
           at the Max-Planck Institute for Informatics, Saarbruecken, Germany

    Prof. Matthias Nießner - 
         Head of the Visual Computing Lab at Technical University of Munich 

    Dr. Andrew Fitzgibbon -  Partner Scientist at Microsoft, 

    TBD

Call for contributions	

Reconstruction of general dynamic scenes is motivated by potential
applications in film and broadcast production together with the
ultimate goal of automatic understanding of real-world scenes from
distributed camera networks. With recent advances in hardware and the
advent of virtual and augmented reality, dynamic scene reconstruction
is being applied to more complex scenes with applications in
Entertainment, Games, Film, Creative Industries and AR/VR/MR. We
welcome contributions to this workshop in the form of oral
presentations, posters and demos. Suggested topics include, but are
not limited to:

    Dynamic 3D reconstruction from single, stereo or multiple views

    Multi-modal dynamic scene modelling (RGBD, LIDAR, 360 video, light-field)

    4D reconstruction and modelling

    3D segmentation and recognition

    3D/4D data acquisition, representation, compression and transmission 

    Scene analysis and understanding

    Structure-from-motion, camera calibration and pose estimation

    Geometry processing

    Computational photography

    Appearance and reflectance modelling

    Scene modelling in the wild

    Applications of dynamic scene reconstruction
    (virtual/augmented/mixed reality, character animation,
    free-viewpoint video, relighting, medical imaging, creative
    content production, animal welfare, HCI, sports)


We welcome submissions from both industry and academia, including
interdisciplinary work and work from those outside of the mainstream
computer vision community.

Submission website: https://cmt3.research.microsoft.com/DYNAVIS2019


Important Dates 

Paper submission deadline: March 10, 2019

Notification to authors: April 01, 2019

Camera ready deadline: April 08, 2019 

Best Paper Award - TBD