VISIONTRAIN: Computational and Cognitive Vision Systems
The EU Marie Curie Actions logo.VISIONTRAIN: Computational and Cognitive Vision Systems
VISIONTRAIN was an EU FP6 Marie Curie Research Training Network that linked 11 European laboratories to study vision from both computational and cognitive angles. The consortium set out to narrow the gap between biological vision, which remains only partially understood, and computer vision by developing formal mathematical models and validating them experimentally. Research was organized around five themes: (i) low-level vision theory and algorithms, (ii) motion interpretation from image sequences, (iii) learning and recognising shapes, objects and categories, (iv) cognitive models of the act of seeing, and (v) functional brain-imaging for modelling visual processes.
Roles
Jan 1 2006 - Apr 30 2009: Researcher | Ph.D. Student @ FRI
- Ph.D. research on self-supervised online learning vector quantization (SSLVQ) methods for learning object affordances using a robot arm to interact with household objects while tracking visual features.
Awards
Videos
Learning basic object affordances with a robotic arm
Video: Barry Ridge’s YouTube Channel. Credit: Barry Ridge, University of Ljubljana.
