Download e-book for iPad: Biologically inspired computer vision : fundamentals and by Gabriel Cristobal, Laurent Perrinet, Matthias S. Keil,

By Gabriel Cristobal, Laurent Perrinet, Matthias S. Keil, Jeanny Herault

ISBN-10: 3527412646

ISBN-13: 9783527412648

ISBN-10: 3527680497

ISBN-13: 9783527680498

ISBN-10: 3527680861

ISBN-13: 9783527680863

Because the cutting-edge imaging applied sciences grew to become progressively more complex, yielding clinical information at extraordinary aspect and quantity, the necessity to strategy and interpret all of the info has made photo processing and laptop imaginative and prescient more and more vital. resources of knowledge that experience to be normally handled cutting-edge functions comprise video transmission, instant communique, computerized fingerprint processing, huge databanks, non-weary and actual computerized airport screening, powerful evening imaginative and prescient, simply to identify a couple of. Multidisciplinary inputs from different disciplines similar to physics, computational neuroscience, cognitive technological know-how, arithmetic, and biology may have a primary effect within the development of imaging and imaginative and prescient sciences. one of many merits of the research of organic organisms is to plot very varied kind of computational paradigms via imposing a neural community with a excessive measure of neighborhood connectivity.
this can be a accomplished and rigorous reference within the sector of biologically stimulated imaginative and prescient sensors. The research of biologically visible structures should be regarded as a method street. at the one hand, organic organisms supplies a resource of thought for brand new computational effective and strong imaginative and prescient types and nevertheless computer imaginative and prescient techniques gives you new insights for figuring out organic visible platforms. alongside the various chapters, this publication covers quite a lot of subject matters from primary to extra really good issues, together with visible research in accordance with a computational point, implementation, and the layout of recent extra complex imaginative and prescient sensors. The final sections of the ebook supply an summary of some consultant purposes and present cutting-edge of the study during this zone. This makes it a important ebook for graduate, grasp, PhD scholars and in addition researchers within the box

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Extra info for Biologically inspired computer vision : fundamentals and applications

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C. (1992) Selective Attention in Vision, Routledge, New York. ISBN: 0415061059. N. et al. (2007) Real-time vision using a smart sensor system. 2007 IEEE International Symposium on Industrial Electronics, June 4–7, 2007. A. et al. (2010) Fast vision through frameless event-based sensing and convolutional processing: application to texture recognition. IEEE Trans. Neural Networks, 21(4), 609– 620. 24. Serrano-Gotarredona, R. et al. (2009) 25. 26. 27. 28. 29. CAVIAR: a 45k Neuron, 5M Synapse, 12G Connects/s AER hardware sensory– processing– learning–actuating system for high-speed visual object recognition and tracking.

As a consequence, biologically inspired computer vision is not only about mimicking the structure of animals’ visual systems but also to gain insights from the vast range of different solutions that have emerged through natural selection to provide efficient solutions to vision-based problems. 2. This book aims at providing an overview of bioinspired computer vision, starting from fundamentals to the most recent advances and applications in the field. The three chapters selected in the section “Applications” are good representatives of how the transfer of ideas from biology to computer vision can be done in practice.

The major consequence of the bioinspired approach and most distinctive feature with respect to standard imaging is that the control over the acquisition of the visual information is no longer being imposed to the sensor in the form of external timing signals such as shutter or frame clock, but the decision making is transferred to the single pixel that handles its own visual information individually and autonomously. Consequently, the sensor is “event driven” instead of clock driven; hence, like its biological model, the sensor responds to visual events happening in the scene it observes.

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Biologically inspired computer vision : fundamentals and applications by Gabriel Cristobal, Laurent Perrinet, Matthias S. Keil, Jeanny Herault


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