Michael R. M. Jenkin – författare
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2 produkter
1 571 kr
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Computational vision deals with the underlying mathematical and computational models for how visual information is processed. Whether the processing is biological or machine, there are fundamental questions related to how the information is processed. How should information be represented? How should information be transduced in order to highlight features of interest while suppressing noise and other artefacts of the image capture process? Computational Vision in Neural and Machine Systems address these and other questions in 13 chapters, divided into three sections, which overlap between biological and computational systems: dynamical systems; attention, motion, and eye-movements; and stereovision. The editors have brought together the best and brightest minds in the field of computational vision, combining research from both biology and computing and enhancing the developing synergy between computational and biological visual modelling communities. Aimed at researchers and graduate students in computational or biological vision, neuroscience, and psychology.
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Biological and machine systems exist within a complex and changing three-dimensional world. We appear to have no difficulty understanding this world, but how do we go about forming a perceptual model of it? Centred around three key themes: depth processing and stereopsis; motion and navigation in 3D; and natural scene perception, this volume explores the latest cutting-edge research into the perception of three dimension environments. It features contributions from top researchers in the field, presenting both biological and computational perspectives. Topics covered include binocular perception; blur and perceived depth; stereoscopic motion in depth; and perceiving and remembering the shape of visual space. This unique book will provide students and researchers with an overview of ongoing research as well as perspectives on future developments in the field. Colour versions of a selection of the figures are available at www.cambridge.org/9781107001756.