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Advancements in 3D Object Recognition and Classification Through Shading and Texture Analysis

This research explores innovative approaches for object recognition and classification using 3D structure derived from texture and shading. Collaborators from KU Leuven, University of Utrecht, and Inria, among others, investigate the geometrical interpretations of shade, shadow, and contour for Lambertian surfaces. The focus includes production of versatile programs for enhancement in human-computer communication, especially for aging and disabled individuals. By addressing conflicting cues in shading and contour, the study aims to improve perceptual learning and action recognition.

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Advancements in 3D Object Recognition and Classification Through Shading and Texture 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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