CORDIS
EU research results

CORDIS

English EN
3D shape and material properties for recognition

3D shape and material properties for recognition

Objective

Investigation of the neural selectivity in key regions (areas TE and V4) of the ventral visual pathway of primates for pictorial 3D shape cues and material properties. Comparison of this neuronal coding with the characteristics of human perception of 3D shape defined by pictorial cues and materials. Provide theoretical foundation for processing of pictorial cues and material properties in computers. Implement the theory and compare computer performance with human perception and neuronal coding.

OBJECTIVES
Restore the cross fertilization between biological vision (neuroscience and psychophysics) and computer vision. Study the coding of pictorial cues for 3D shape and of material properties in areas TE and V4. Search for grouping of properties in either area and relate to connectivity. Study the perception of 3D shape defined by pictorial cues and of material properties. Develop mathematical theories necessary for implementation of pictorial cue and material processing in computers. Implementation of the theory to create a flexible system.

DESCRIPTION OF WORK
Study the selectivity of TE and V4 neurons for texture defined (single and double curved) surfaces.
Study selectivity of TE and V4 neurons for shaded stimuli derived from theory and perceptual studies.
Study coding of material properties in V4 and TE.
Study invariance of the selectivity for parsing, changes in illumination and elimination of cues.
Map functionally the cortical regions involved in material processing.
Study the perception of surfaces and objects defined by texture or combination of apparent contour and shading under a range of (illumination changes etc) conditions.
Study the perception of materials under different conditions of illumination, texture manipulation and elimination of cues.
Develop the mathematical theory of singularities in combinations of apparent contour and different types of shading.
Inverse the 3D to 2D projection and recover illuminated objects and sources of illumination using variational tools and study the classes of solutions for a given image.
Train computers to discriminate materials and extract processing principles which can be implemented. Integrate material processing with 3D geometry processing.

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN

Address

Oude Markt 13
3000 Leuven

Belgium

Administrative Contact

Guy A. ORBAN

Participants (5)

Sort alphabetically

Expand all

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE

France

KUNGLIGA TEKNISKA HOEGSKOLAN

Sweden

THE UNIVERSITY OF LIVERPOOL

United Kingdom

UNIVERSITE PAUL SABATIER

France

UNIVERSITEIT UTRECHT

Netherlands

Project information

Grant agreement ID: IST-2000-29688

  • Start date

    1 September 2001

  • End date

    31 December 2004

Funded under:

FP5-IST

  • Overall budget:

    € 2 305 302

  • EU contribution

    € 2 025 000

Coordinated by:

KATHOLIEKE UNIVERSITEIT LEUVEN

Belgium

This project is featured in...