DynaVis

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 and posters. 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)

The objectives for this workshop are to:

• - create a common portal for Papers and Datasets in dynamic scene reconstruction
• - discuss techniques to capture high-quality ground-truth for dynamic scenes
• - develop an evaluation framework for dynamic scene reconstruction