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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-2001-35454these more general challenges, surface inspection requires significant flexibility tocope with permanently changing designs due to demanding end markets. A typicalsystem of this kind would be the Ceravision system.Emerging applicationsThe ability to learn from a very small sample remains an important characteristic asbatch sizes get small, requiring powerful generalisation ability.An increasing important issue is the ‘extraction’ of the knowledge of the qualityexpert who knows intuitively what is a good sample for a range of classificationgrades, and who knows the production context. New interactive user interfacescapable of capturing this knowledge have to be found and implemented.Finally the results should be used to establish a closed loop control to actuallyimprove the quality of the production, where traditional PID-type control isinadequate for modelling complex non-linear effects. This is only possible on thecondition that the images are fully understood in the context of the particularproduction process.4.3 Video Surveillance(Rebecca, James, <strong>David</strong>?? - with jim)The Vigilant Environment - A <strong>Research</strong> Dream<strong>David</strong> <strong>Vernon</strong>4.4 Man-machine interactionAn Interactive <strong>Cognitive</strong> <strong>Vision</strong> System which collaborates with its users in imageinterpretation tasks,…adapting to cultural, social, and task-dependent contexts of usage.32

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