image: Roland Fleming

DyViTo: Dynamic Vision and Touch

EU Marie Sklodowska Curie Innovative Training Network (H2020-MSCA-ITN-2016): 721312— DyViTo

DyViTo

Real world tasks as diverse as drinking tea or operating machines require us to integrate information across time and the senses. Understanding how we perform dynamic, multisensory integration is a key challenge with important applications in digital and virtual environments. Our goal is to produce a step change in the industrial challenge of creating virtual objects that look, feel, move and change like ‘the real thing’. Our integrated training will produce a cohort of young researchers who are able to translate between the fundamental neuro-cognitive mechanisms of object and material perception and diverse applications in virtual reality.


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ERC Consolidator Award: 682589 — SHAPE

Shape Understanding: On the Perception of Growth, Form and Process

ERC

There has been a lot of previous research on how the brain works out the local surface properties of shapes such as the depths or curvatures. However, practically nothing is known about how the brain uses its estimates of shape to work out other properties of objects. In SHAPE, we seek to understand how the brain goes beyond simply working out what shapes objects have, to working out their underlying ‘logic’, that is, how and why they have those shapes. We are developing a new field of study in the perceptual and cognitive sciences to unravel how the brain identifies and represents the origins of form.


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DFG: SFB-TRR-135 "Cardinal Mechanisms of Perception"

Visual Categorization and Prediction of Deformable Materials

DFG

Using simulated materials, we will measure how category learning generalizes to novel samples, and test whether subjects can predict the future movements of deformable materials as they interact with other objects. Finally we will model human categorization using machine learning techniques, based on analysis of the 3D shapes of the simulated materials. We hypothesize that observers learn generative models of the ‘typical appearance’ of materials, enabling categorization and prediction.


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DFG: IRTG 1901 "The Brain in Action"

Effects of Perceived Material Properties on Action

The Brain in Action

The International Research Training Group (IRTG) "The Brain in Action" (DFG-1901) is an international research alliance of the Philipps University Marburg and the Justus-Liebig-University Giessen together with three Canadian Universities. Speakers of the IRTG are Frank Bremmer (Phillipps University Marburg) and Katja Fiehler (JLU Giessen). The canadian partner institutions are York University in Toronto, Queen's University in Kingston and Western University in London. The key goal of the IRTG is to deepen our understanding of the neural systems and processes that underlie perception and action in everyday living. The research group Human Movement Science and Psychology of Sports cooperates with the Biomotion Lab at Queen's University in Kingston to conduct several projects of perception and action in sports.


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Lab member grants

 

DFG - GEPRIS (460533638)

Do inferences drawn from object properties influence saccade planning and perceptual updating?

DFG

Humans can make complex inferences about an object’s material and physical properties, however relatively little is known about how such inferences may be used to guide behaviour and eye-movements. This research program will explore the relationship between object properties and eye-movements, and aims to determine whether, and how, inferences drawn from object properties influence saccade planning strategies, and how object representations are updated across sequences of saccades.


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Previous Funding

 
  • EU Marie Curie Initial Training Network (FP7-PEOPLE-ITN-2012)

    PRISM: Perceptual Representations of Illumination, Shape and Materials

    Partners: Giessen, TU Delft, Birmingham, Leuven, Paris Descartes, INRIA, Bilkent, Philips, NextLimit

  • NSF-BMBF Joint Program in Computational Neuroscience (FKZ: 01GQ1111)

    Towards a Neural Theory of 3D Shape Perception

    Collaborator: Prof. Steven Zucker, Dept. Computer Science, Yale University

  • Wellcome Trust (UK).

    On reflection: the role of disparities in the estimation of shape from specular surfaces

    Collaborator: Dr. Andrew Welchman, University of Birmingham, University of Camebridge, Prof. Andrew Blake, FRS, FREng., Microsoft research

  • 2006 – 2009: BW-FIT (State of Baden-Württemberg)

    Tracking and predicting gaze direction of a freely moving observer interacting with a large high resolution display

    Collaborator: Prof. Oliver Deussen, Dept. of Computer Science, University of Konstanz.

  • 2006 – 2009: DFG (German Research Foundation): FL 624/1-1

    Human visual perception and classification of materials

    Collaborator: Prof. Reinhard Klein, Dept. of Computer Science, University of Bonn.