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| Author | : Brian Ringer |
| Publisher | : |
| Total Pages | : 80 |
| Release | : 1992 |
| Genre | : Computer vision |
| ISBN | : |
Furthermore, the model explains the three major perceptual effects associated with illusory contours: oriented contour perception, depth effects and increased brightness."
| Author | : Brian Ringer |
| Publisher | : |
| Total Pages | : 27 |
| Release | : 1992 |
| Genre | : Computer vision |
| ISBN | : |
Furthermore, the model explains the three major perceptual effects associated with illusory contours: oriented contour perception, depth effects and increased brightness."
| Author | : B. Ringer |
| Publisher | : |
| Total Pages | : 80 |
| Release | : 1992 |
| Genre | : |
| ISBN | : |
| Author | : J. Skrzypek |
| Publisher | : |
| Total Pages | : 27 |
| Release | : 1991 |
| Genre | : |
| ISBN | : |
| Author | : Harry Wechsler |
| Publisher | : Academic Press |
| Total Pages | : 543 |
| Release | : 2014-05-10 |
| Genre | : Computers |
| ISBN | : 1483260259 |
Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation and examples of PDP models for machine perception. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The book is organized into two parts. The first part focuses on human perception. Topics on network model of object recognition in human vision, the self-organization of functional architecture in the cerebral cortex, and the structure and interpretation of neuronal codes in the visual system are detailed under this part. Part two covers the relevance of neural networks for machine perception. Subjects considered under this section include the multi-dimensional linear lattice for Fourier and Gabor transforms, multiple- scale Gaussian filtering, and edge detection; aspects of invariant pattern and object recognition; and neural network for motion processing. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.
| Author | : J. Leo van Hemmen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 424 |
| Release | : 2012-11-09 |
| Genre | : Computers |
| ISBN | : 0387217037 |
This volume, with chapters by leading researchers in the field, is devoted to early vision and attention, that is, to the first stages of visual information processing. This state-of-the-art look at biological neural networks spans the many subfields, such as computational and experimental neuroscience; anatomy and physiology; visual information processing and scene segmentation; perception at illusory contours; control of visual attention; and paradigms for computing with spiking neurons.
| Author | : James M. Bower |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 897 |
| Release | : 2013-06-29 |
| Genre | : Medical |
| ISBN | : 1475798008 |
This volume includes papers presented at the Fifth Annual Computational Neurosci ence meeting (CNS*96) held in Boston, Massachusetts, July 14 - 17, 1996. This collection includes 148 of the 234 papers presented at the meeting. Acceptance for mceting presenta tion was based on the peer review of preliminary papers originally submitted in May of 1996. The papers in this volume represent final versions of this work submitted in January of 1997. As represented by this volume, computational neuroscience continues to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. Defining computa tional neuroscience as the exploration of how brains compute, it is clear that there is al most no subject or area of modern neuroscience research that is not appropriate for computational studies. The CNS meetings as well as this volume reflect this scope and di versity.
| Author | : Susan Petry |
| Publisher | : Springer |
| Total Pages | : 346 |
| Release | : 1987-10-05 |
| Genre | : Computers |
| ISBN | : |
The Perception of Illusory Contours is a complete and comprehensive volume on one of the most important phenomena in modern perception research. An illusory contour is a demonstration in which people perceive edges, surfaces, objects and colors that have no physical reality. The international group of distinguished researchers which comprise the contributors to the volume present new theoretical interpretations and data in addition to reviewing the extensive literature on this topic. The volume begins with an introduction to the research on and theories behind illusory contours and their applications to other areas of perception, cognitive science and art. The collection also features English language translations of the seminal papers by Schumann, Ehrenstein, and Kanizsa, the scientists who originally discovered and investigated the phenomenon. The Perception of Illusory Contours contains the most comprehensive set of illusory contour figures ever assembled. The volume is a most significant reference work in an area of research at the critical intersection of perception, cognitive science, visual neurophysiology, and artificial intelligence.
| Author | : Josef Skrzypek |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 263 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 1461527368 |
Neural Network Simulation Environments describes some of the best examples of neural simulation environments. All current neural simulation tools can be classified into four overlapping categories of increasing sophistication in software engineering. The least sophisticated are undocumented and dedicated programs, developed to solve just one specific problem; these tools cannot easily be used by the larger community and have not been included in this volume. The next category is a collection of custom-made programs, some perhaps borrowed from other application domains, and organized into libraries, sometimes with a rudimentary user interface. More recently, very sophisticated programs started to appear that integrate advanced graphical user interface and other data analysis tools. These are frequently dedicated to just one neural architecture/algorithm as, for example, three layers of interconnected artificial `neurons' learning to generalize input vectors using a backpropagation algorithm. Currently, the most sophisticated simulation tools are complete, system-level environments, incorporating the most advanced concepts in software engineering that can support experimentation and model development of a wide range of neural networks. These environments include sophisticated graphical user interfaces as well as an array of tools for analysis, manipulation and visualization of neural data. Neural Network Simulation Environments is an excellent reference for researchers in both academia and industry, and can be used as a text for advanced courses on the subject.
| Author | : Richard Boyle |
| Publisher | : Springer |
| Total Pages | : 856 |
| Release | : 2007-11-22 |
| Genre | : Computers |
| ISBN | : 3540768580 |
The two volume set LNCS 4841 and LNCS 4842 constitutes the refereed proceedings of the Third International Symposium on Visual Computing, ISVC 2007, held in Lake Tahoe, NV, USA, in November 2007. The 77 revised full papers and 42 poster papers presented together with 32 full and five poster papers of six special tracks were carefully reviewed and selected. The papers cover the four main areas of visual computing: vision, graphics, visualization, and virtual reality.
