Welcome to the PERCEPTION’s website at INRIA Grenoble Rhone-Alpes

PERCEPTION is a research group associated with INRIA, Centre de Recherche INRIA Grenoble Rhone-Alpes, and with Laboratoire Jean Kuntzmann (LJK). The scientific objective of the group is to map images and videos onto 3-D visual representations. More specifically we address the following broad topics:

  Building rich 3-D representations using geometry, texture, and photometry in combination with multiple cameras;
  Modeling articulated objects (recognition, tracking, matching, motion capture, motion segmentation, action and gesture interpretation);
  Biologically perception from the viewpoint of computer vision, and
  Integration between vision and other sensing modalities, in particular audio-visual fusion.

We study the mathematical models that are needed to extract 3-D content from the light stimuli (images) and we devise methods, algorithms, and software packages that best implement these models. We also investigate the biological/cognitive processes that govern the interactions between high-level representations and the sensory inputs, we attempt to describe these processes as mathematical and computational models, and we implement them as working computer programs.

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Recent Publications

• Segmentation convexe multi-région de données sur les surfaces
  Amaël Delaunoy, Emmanuel Prados, Ketut Fundana, Anders Heyden
• Cyclorotation Models for Eyes and Cameras
  Miles Hansard, Radu P. Horaud
• Combining spectral and model-based clustering for shape segmentation and registration
  Radu P. Horaud
• Filter Transformations for Shift-Insensitive Feature Detection
  Miles Hansard, Radu P. Horaud
• Topology-Adaptive Mesh Deformation for Surface Evolution, Morphing, and Multi-View Reconstruction
  Andrei Zaharescu, Edmond Boyer, Radu P. Horaud
• Conjugate Mixture Models for Clustering Multimodal Data
  Vasil Khalidov, Florence Forbes, Radu P. Horaud
• Rigid and Articulated Point Registration With Expectation Conditional Maximization
  Radu P. Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang
• A Joint Framework for Disparity and Surface Normal Estimation
  Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu P. Horaud
• Finding Images with Similar Lighting Conditions in Large Photo Collections
  Mauricio Díaz, Peter Sturm
• Virtualization Gate
  Benjamin Petit, Jean-Denis Lesage, Edmond Boyer, Bruno Raffin
• More...