Biologically Motivated Computer Vision

Author : Heinrich H. Bülthoff
Publisher : Springer
ISBN 13 : 3540361812
Total Pages : 676 pages
Book Rating : 4.17/5 ( download)

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Download or read book Biologically Motivated Computer Vision written by Heinrich H. Bülthoff and published by Springer. This book was released on 2003-08-02 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Biologically Motivated Computer Vision, BMCV 2002, held in Tübingen, Germany, in November 2002. The 22 revised full papers and 37 revised short papers presented together with 6 invited papers were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on neurons and features, motion, mid-level vision, recognition - from scenes to neurons, attention, robotics, and cognitive vision.

Author : Gabriel Cristobal
Publisher : John Wiley & Sons
ISBN 13 : 3527680470
Total Pages : 482 pages
Book Rating : 4.74/5 ( download)

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Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-08-20 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Author : Seong-Whang Lee
Publisher : Springer
ISBN 13 : 3540454829
Total Pages : 670 pages
Book Rating : 4.23/5 ( download)

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Download or read book Biologically Motivated Computer Vision written by Seong-Whang Lee and published by Springer. This book was released on 2003-07-31 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is our great pleasure and honor to organize the First IEEE Computer Society International Workshop on Biologically Motivated Computer Vision (BMCV 2000). The workshop BMCV 2000 aims to facilitate debates on biologically motivated vision systems and to provide an opportunity for researchers in the area of vision to see and share the latest developments in state-of-the-art technology. The rapid progress being made in the field of computer vision has had a tremendous impact on the modeling and implementation of biologically motivated computer vision. A multitude of new advances and findings in the domain of computer vision will be presented at this workshop. By December 1999 a total of 90 full papers had been submitted from 28 countries. To ensure the high quality of workshop and proceedings, the program committee selected and accepted 56 of them after a thorough review process. Of these papers 25 will be presented in 5 oral sessions and 31 in a poster session. The papers span a variety of topics in computer vision from computational theories to their implementation. In addition to these excellent presentations, there will be eight invited lectures by distinguished scientists on “hot” topics. We must add that the program committee and the reviewers did an excellent job within a tight schedule.

Author : Seong-Whang Lee
Publisher : Springer
ISBN 13 : 9783540675600
Total Pages : 0 pages
Book Rating : 4.04/5 ( download)

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Download or read book Biologically Motivated Computer Vision written by Seong-Whang Lee and published by Springer. This book was released on 2000-05-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is our great pleasure and honor to organize the First IEEE Computer Society International Workshop on Biologically Motivated Computer Vision (BMCV 2000). The workshop BMCV 2000 aims to facilitate debates on biologically motivated vision systems and to provide an opportunity for researchers in the area of vision to see and share the latest developments in state-of-the-art technology. The rapid progress being made in the field of computer vision has had a tremendous impact on the modeling and implementation of biologically motivated computer vision. A multitude of new advances and findings in the domain of computer vision will be presented at this workshop. By December 1999 a total of 90 full papers had been submitted from 28 countries. To ensure the high quality of workshop and proceedings, the program committee selected and accepted 56 of them after a thorough review process. Of these papers 25 will be presented in 5 oral sessions and 31 in a poster session. The papers span a variety of topics in computer vision from computational theories to their implementation. In addition to these excellent presentations, there will be eight invited lectures by distinguished scientists on “hot” topics. We must add that the program committee and the reviewers did an excellent job within a tight schedule.

Author : Pomplun, Marc
Publisher : IGI Global
ISBN 13 : 1466625406
Total Pages : 447 pages
Book Rating : 4.02/5 ( download)

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Download or read book Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts written by Pomplun, Marc and published by IGI Global. This book was released on 2012-11-30 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides interdisciplinary research that evaluates the performance of machine visual models and systems in comparison to biological systems, blending the ideas of current scientific knowledge and biological vision"--

Author : Gabriel Kreiman
Publisher : Cambridge University Press
ISBN 13 : 1108483437
Total Pages : 275 pages
Book Rating : 4.38/5 ( download)

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Download or read book Biological and Computer Vision written by Gabriel Kreiman and published by Cambridge University Press. This book was released on 2021-02-04 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces neural mechanisms of biological vision and how artificial intelligence algorithms learn to interpret images.

Author : Ian Overington
Publisher : North Holland
ISBN 13 :
Total Pages : 448 pages
Book Rating : 4.51/5 ( download)

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Download or read book Computer Vision written by Ian Overington and published by North Holland. This book was released on 1992 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume is a comprehensive, self-consistent coverage of one approach to computer vision, with many direct or implied links to human vision. The book is the result of many years spent by the author in research into the limits of human visual performance and the interactions between the observer and his environment. A wide-ranging and largely novel approach to computer vision is described. The treatment starts with a summary account of important aspects of human visual function. This is then followed by a progressive development of the computer image processing, from sub-pixel fragmentary edge determination to optical flow field analysis, local and global stereo analysis, colour imagery, edge-based region segmentation, perceptual texture segmentation and high fidelity contour form analysis. This treatment is considerably different from other more publicised approaches, and is highly recommended for those seeking a dynamic new approach to computer vision.

Author : Michael Felsberg
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681730243
Total Pages : 105 pages
Book Rating : 4.40/5 ( download)

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Download or read book Probabilistic and Biologically Inspired Feature Representations written by Michael Felsberg and published by Morgan & Claypool Publishers. This book was released on 2018-05-29 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Under the title "Probabilistic and Biologically Inspired Feature Representations," this text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual feature descriptors: they are local and compact, they form a computational framework, and the represented information can be reconstructed. The first property is shared with many histogram- and signature-based descriptors, the latter property with the related concept of population codes. In their unique combination of properties, channel representations become a visual Swiss army knife—they can be used for image enhancement, visual object tracking, as 2D and 3D descriptors, and for pose estimation. In the chapters of this text, the framework of channel representations will be introduced and its attributes will be elaborated, as well as further insight into its probabilistic modeling and algorithmic implementation will be given. Channel representations are a useful toolbox to represent visual information for machine learning, as they establish a generic way to compute popular descriptors such as HOG, SIFT, and SHOT. Even in an age of deep learning, they provide a good compromise between hand-designed descriptors and a-priori structureless feature spaces as seen in the layers of deep networks.

Author : Morgon Kanter
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.33/5 ( download)

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Download or read book Biologically-inspired computer vision written by Morgon Kanter and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Gabriel Cristobal
Publisher : John Wiley & Sons
ISBN 13 : 3527412646
Total Pages : 482 pages
Book Rating : 4.48/5 ( download)

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Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-11-16 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.