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Statistical theory / Measurement / Philosophy of thermal and statistical physics / Information theory / Computer vision / Entropy / Kalman filter / Uncertainty / Measurement uncertainty / Statistics / Science / Probability and statistics


Active Search for Real-Time Vision Andrew J. Davison Department of Computing, Imperial College London, 180 Queen’s Gate, SW7 2AZ, London, UK http://www.doc.ic.ac.uk/˜ajd/
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Document Date: 2005-08-22 10:45:30


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Cambridge University Press / Oxford’s Active Vision Laboratory / /

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Facility

University of Oxford / Imperial College / /

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search example / rigorous algorithms / software collaboration / visual processing / guided image processing / real-time vision systems / information-theoretic guided search / search lengths / active search strategy / feature search regions / vision systems / search region size / image processing / frame-rate real-time systems / pixel search operations / local search / real-time applications / vs. bottom-up processing / image processing operations / search cost / estimation processing / search area / search region / monolithic processing resources / active search / specialised embedded processors / bounded search region / search length / search ellipse area / correct hardware / search regions / geometrical vision algorithms / search ellipse / guided search / image processing cost / exhaustive search / basic computing theory / gradient descent search / search region area / 2D measurement site / search ellipses / larger search region / /

Organization

Cambridge University / Imperial College London / Real-Time Vision Andrew J. Davison Department of Computing / US Federal Reserve / University of Oxford / /

Person

Ian Reid / Andrew J. Davison / David Murray / Ben Tordoff / /

Position

author / Queen / Gaussians model for multiple hypotheses / /

ProvinceOrState

Michigan / /

Technology

geometrical vision algorithms / simulation / specialised embedded processors / image processing / PDF / /

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http /

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