Roberto Ranon

Assistant Professor at the Department of Math and Computer Science of the University of Udine, Italy.

roberto.ranon@uniud.it

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EG2016 Tutorial - Algorithms and techniques for virtual camera control

Contents

Tutorial Description

Camera control is required in nearly all interactive 3D applications and presents a particular combination of different technical challenges. This tutorial presents recent and novel research ideas to handling a user’s viewpoint on a scene in interactive, semi-automatic, and fully declarative camera control situations, covering a range of techniques from path-planning, visibility computation, optimal viewpoint computation and continuity editing. A specific part of the tutorial is be dedicated to virtual cinematography, and how it can draw inspiration from data and knowledge in real cinematography. Our presentation will include numerous live examples from both commercial systems and research prototypes, running in Unity and Motion Builder systems. Some of the tools, algorithms and datasets are made also available, see links below.

Syllabus

  • Introduction (Roberto Ranon) [slides]
  • Basic Knowledge (Christophe Lino) [slides]
  • User-Controlled Cameras (Marc Christie/Roberto Ranon/Christophe Lino) [slides]
  • Viewpoint Computation (Roberto Ranon) [slides] [software]
  • Camera Motions (Marc Christie/Quentin Galvane) [slides]
  • Automated Editing (Christophe Lino) [slides]

Presenters

  • Quentin Galvane is a postdoctoral researcher at Technicolor R&D in Rennes. He obtained his Ph.D. in Computer Science at the University of Grenoble in 2015 on Automatic Cinematography and Editing in Virtual Environments. He currently focuses his research on intelligent cinematography with drones.

  • Christophe Lino is a Postdoctoral Teaching Fellow at University of Rennes 1 / INRIA. He obtained the Ph.D. in Computer Science in 2013 from University of Rennes 1. His work focuses on computational models for virtual camera control problems (viewpoint computation, camera path planning, editing, visibility computation), and on the provision of interactive and intuitive tools to assist users in creative and/or technical tasks.

  • Roberto Ranon is assistant professor at the University of Udine, Italy, and researcher at the HCI Lab at the same University. His work focuses on marrying AI with Computer Graphics, particularly for virtual camera control problems, with applications to modeling, simulations, and video games.