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Insightful Representations for Object Recognition and 3D Structure Analysis

This project focuses on mechanisms for object recognition, classification, 3D structure from texture, and shading, featuring material properties investigated by a collaborative team from various universities and research institutions. The aim is to produce versatile programs to handle shading and contour conflicts, with ongoing work in understanding singularities and specialized singularity cases. The research also delves into viewer movement impacts on fold shade cases, unveiling new insights through computational modules such as segmentation, reconstruction, and optical flow analysis. The collaboration spans interdisciplinary approaches, aiming for practical applications and improved human-computer interactions.

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Insightful Representations for Object Recognition and 3D Structure Analysis

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  1. Insight 2+: Representations for object recognition and classification 3D structure from texture 3D structure from shading Material properties KU Leuven: GA Orban U Utrecht: JJ Koenderink U Toulouse J Bullier U Liverpool P Giblin Inria SophiaAntipolis O Faugeras TU Stockholm: JO Eklundh

  2. HUMAN PERCEPTION MONKEY PERCEPTION SINGLE CELL

  3. University of Liverpool UNC Chapel HillPeter Giblin/Gareth Haslinger James Damon Classification of singularities of shade/shadow/contour for Lambertian surfaces, including ‘unfolding’ by viewer movement. Geometrical interpretation. Mostly complete for ‘fold shade’ cases. Others in progress. Production of versatile programs to realise these, for use by other partners. This includes the possibility of conflicting cues from shading and contour. A simple ‘semi-fold’ singularity: contour green and shade boun-dary cyan Unfolding of a ‘semi-beaks’ singularity by moving the view Left: consistent and right:inconsistent cues from shade and shape

  4. Mega Insight : Bio- Computer Vision modules

  5. Segmentation, scale, framework Reconstruction of 3D structure Optic flow and control subject motion Control of effector motion Recognition of actions Recognition and Classification of objects Perceptual learning Attention and context effects Priors and expectations.

  6. Modular Interdisciplinary Goal Driven Tutoring post docs Cutting edge close to the market Need new products: research Improve between humans and human- computer communication Brain inspired systems for aging and disabled.

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