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Cognitive Vision Research Roadmap - David Vernon

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<strong>Cognitive</strong> <strong>Vision</strong> <strong>Research</strong> <strong>Roadmap</strong>EC<strong>Vision</strong> - IST-2001-35454Overview and summary(Jim - Last thing to write)Co-authors include<strong>David</strong> <strong>Vernon</strong> (Captec) Definition of <strong>Cognitive</strong> <strong>Vision</strong>Patrick Courtney - Industrial Applications - many contributions.Pia Böttcher - Industrial Applications and many contributionsBernd Neumann (Univ. of Hamburg) - AI and <strong>Cognitive</strong> <strong>Vision</strong>.Rebecca Simpson (Sera) Section on Enabling TechnologiesMarkus Vincze (Vienna University of Technology) - Robotics and AutomationJan-Mark Geusebroek (University of Amsterdam)Arnold W. M. Smeulders (University of Amsterdam)Wolfgang Forstner (University of Bonn) - Self Diagnosis.The key things to address here are:The objective of the document;The reasons it is needed;The people it is directed at;How it is organized (and why it is organized this way);The basis on which it was founded.These will be written one the document is stable. However, here is a start.Computer vision is the science of machines that see. The goal of computer vision is toendow a machine with the ability to understand the structure, composition, andbehaviour of its physical surroundings through the use of visual data. Over the lastfew years, exponential growth in computing power has provided inexpensivecomputing devices capable of processing images in real time. In parallel, rapidprogress has been made in the development of theories and methods for using visualinformation to reconstruct and model the spatio-temporal world. The convergence ofthese two innovations has triggered significantly increased growth in the use of visualsensing. However, current growth rates are a small fraction of the potential growthiv

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