Areas of research

Originally intended to support creative industries in the production of entertainment components, technologies are now being promoted to a future of supporting applied research in digital intelligence.

Indeed, the industry has become mature in the efficient production of high quality components and, like all sectors of activity today, requires access to massive data to improve the user experience. It now seeks to better simulate, mimic and predict the behaviour of these elements.

In this sense, a machine driven study of natural behaviours (machine learning) and cognitive processes specific to learning (deep learning) will allow CDRIN’s clients to innovate in terms of user experience as well as computer perception. And these innovations will go far beyond innovative uses in video games and animation!

Discover our areas of research

Big Data Artificial intelligence Computer graphics and visualization Computer Vision Human-machine interaction User Experience

Big Data

Without massive data, no artificial intelligence! The CDRIN redirects the use of its infrastructures in the acquisition of data in adequate quality and quantity. This data will be used to:

  • Develop technologies to accurately interpret or reproduce body and facial expressions.
  • Develop modeling tools for objects and characters from model banks.

Artificial intelligence

Whether with the CDRIN data or your data, we can make intelligent use of it and generate objects, characters, movements and animations with a level of realism and precision required. The algorithms developed can be used to:

  • Develop decision support tools.
  • Develop modules to generate complex virtual environments.

Computer graphics and visualization

The entertainment business is changing rapidly. Today more than ever, technologies make it possible to eliminate recurring and rather technical operations in the production process, thus freeing up all artistic creativity. This theme focuses on the following topics:

  • 3D animation.
  • 3D rendering.
  • Volumetric modelling.
  • Procedural generation.

Computer Vision

The computer vision in the broad sense allows to analyze, recognize and process components in a media. Machine learning is a privileged approach to achieve the objectives of this theme whose subjects are :

  • Identification of media components.
  • Media processing: distinction, scheduling, motion capture data comparison.
  • Data synchronization.

Human-machine interaction

CDRIN has developed expertise in integrating systems and technologies into processes adapted to industry needs, such as motion capture, digitization and game engines.

  • Integration of photogrammetry and mocap.
  • Integration of a VR technology and a rendering engine.
  • Performance capture (real time or not).

User Experience

The ultimate scope of research at CDRIN is to participate in the continuous improvement of the user experience. The development of adaptive and user-friendly systems provides an opportunity to understand the specific uses of digital components. These uses are cross-sectoral:

  • Clinical environment with non-linear pathways.
  • Differentiated training environment.
  • Semantic interface.
  • Interactive course in an immersive environment.
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