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CRISP (2011-2016) Creating and rendering images based on the study of perception |
Principal Investigators :
- Dr. Adrien Bousseau, GraphDeco (previously REVES) project-team, Inria Sophia Antipolis Médittéranée
- Prof. Maneesh Agrawala, University of California Berkeley (now at Stanford)
Research objectives:
Scientific achievements:
During the first 3 years, the team made significant progress on its three research themes:
- Perception: Work relates to extensive studies evaluating how materials are perceived in stylized images (specifically painting and cartoon) and how people perceive distortions in image-based streetlevel visualizations, such as Google Street View.
- Rendering: Results include a new algorithm to render objects with rough refraction in real-time. The method achieves real-time performance by approximating the complex light transport phenomena involved in rough refractions while producing results visually similar to images computed with an offline physically-based path tracer.
- Interaction: Contribution includes an automatic system to facilitate the design of effective lighting for material depiction. The system optimizes environment map lighting according to guidelines on lighting design for material depiction. The team has also introduced “vector shade trees” that bring to vector graphics the flexibility of modular shading as commonly used in 3D rendering.
Publications and Awards:
- 3 Journal articles published in ACM Transactions on Graphics, 2 articles in Computer Graphics Forum, 1 article in IEEE Transactions on Visualization and Computer Graphics.
- Best paper award at ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2011.
Selected publication:
Follow up:
CRISP pursues its collaboration along the 3 directions of: Perception, Rendering and Interaction.