Section: Partnerships and Cooperations

International Initiatives

INRIA Associate Teams

  • Title: Human Perception

  • INRIA principal investigator: George Drettakis

  • International Partner:

    • Institution: University of California Berkeley (United States)

    • Laboratory: Electrical Engineering and Computer Science

  • Duration: 2011 - 2013

  • See also: http://www-sop.inria.fr/reves/crisp/

  • The goal of the CRISP associate team between REVES and University of California (UC) Berkeley is to investigate novel ways to create, render and interact with images based on the study of human Perception. This novel and emerging area has been the focus of ongoing collaborations between researchers from the REVES research group at INRIA (Adrien Bousseau, George Drettakis) and researchers in Computer Science and Vision Science at UC Berkeley (Maneesh Agrawala, Ravi Ramamoorthi, Martin S. Banks (Human Vision Science)). All of the researchers involved in CRISP share a common interest in creating and manipulating effective synthetic imagery. To achieve this goal we will focus on understanding how people perceive complex material, lighting and shape, on developing new rendering algorithms based on this understanding, and on building interactive tools that enable users to efficiently specify the kind of image they wish to create. More specifically, we will explore the following research directions :Perception: Images are generated from the interaction of lighting, material, and geometry. We will evaluate how people perceive material, lighting, and geometry in realistic images such as photographs, and non realistic images such as drawings and paintings. This knowledge of human perception is essential for developing efficient rendering algorithms and interaction tools that focus on the most important perceptual features of an image. We have started several projects on the perception of materials in realistic and non realistic images, with promising results. Rendering: We will develop rendering algorithms that generate images that are plausible with respect to the user's intent and allocate resources on the visual effects that best contribute to perception. Current projects on rendering include work on enhancing material variations in realistic and non realistic rendering.Interaction: We will facilitate the creation of material, lighting, and geometric effects in synthetic images by developing novel user interfaces for novice and professional users. We are currently working on interfaces to draw object appearance and to relight photographs.Our contributions have the potential to benefit different applications of image creation such as illustration (archeology, architecture, education); entertainment (video games, movies) and design (sketching, photograph editing). This research naturally falls in INRIA's strategic objective of interacting with real and virtual worlds.