Motion Stereo Using Ego Motion Complex Logarithmic Mapping
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Motion Stereo Using Ego Motion Complex Logarithmic Mapping
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Author : RAMESH JAIN
language : en
Publisher:
Release Date : 1986
Motion Stereo Using Ego Motion Complex Logarithmic Mapping written by RAMESH JAIN and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with categories.
Using The Ego Motion Complex Logarithmic Mapping For Dynamic Vision
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Author : Sandra Lee Bartlett
language : en
Publisher:
Release Date : 1993
Using The Ego Motion Complex Logarithmic Mapping For Dynamic Vision written by Sandra Lee Bartlett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Qualitative Motion Understanding
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Author : Wilhelm Burger
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Qualitative Motion Understanding written by Wilhelm Burger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Mobile robots operating in real-world, outdoor scenarios depend on dynamic scene understanding for detecting and avoiding obstacles, recognizing landmarks, acquiring models, and for detecting and tracking moving objects. Motion understanding has been an active research effort for more than a decade, searching for solutions to some of these problems; however, it still remains one of the more difficult and challenging areas of computer vision research. Qualitative Motion Understanding describes a qualitative approach to dynamic scene and motion analysis, called DRIVE (Dynamic Reasoning from Integrated Visual Evidence). The DRIVE system addresses the problems of (a) estimating the robot's egomotion, (b) reconstructing the observed 3-D scene structure; and (c) evaluating the motion of individual objects from a sequence of monocular images. The approach is based on the FOE (focus of expansion) concept, but it takes a somewhat unconventional route. The DRIVE system uses a qualitative scene model and a fuzzy focus of expansion to estimate robot motion from visual cues, to detect and track moving objects, and to construct and maintain a global dynamic reference model.
Machine Learning And Robot Perception
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Author : Bruno Apolloni
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-09-14
Machine Learning And Robot Perception written by Bruno Apolloni and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-14 with Technology & Engineering categories.
This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.
Analog Vlsi Implementation Of Neural Systems
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Author : Carver Mead
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Analog Vlsi Implementation Of Neural Systems written by Carver Mead and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
This volume contains the proceedings of a workshop on Analog Integrated Neural Systems held May 8, 1989, in connection with the International Symposium on Circuits and Systems. The presentations were chosen to encompass the entire range of topics currently under study in this exciting new discipline. Stringent acceptance requirements were placed on contributions: (1) each description was required to include detailed characterization of a working chip, and (2) each design was not to have been published previously. In several cases, the status of the project was not known until a few weeks before the meeting date. As a result, some of the most recent innovative work in the field was presented. Because this discipline is evolving rapidly, each project is very much a work in progress. Authors were asked to devote considerable attention to the shortcomings of their designs, as well as to the notable successes they achieved. In this way, other workers can now avoid stumbling into the same traps, and evolution can proceed more rapidly (and less painfully). The chapters in this volume are presented in the same order as the corresponding presentations at the workshop. The first two chapters are concerned with fmding solutions to complex optimization problems under a predefmed set of constraints. The first chapter reports what is, to the best of our knowledge, the first neural-chip design. In each case, the physics of the underlying electronic medium is used to represent a cost function in a natural way, using only nearest-neighbor connectivity.
Progress In Image Analysis And Processing Iii Proceedings Of The 7th International Conference On Image Analysis And Processing
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Author : Sebastiano Impedovo
language : en
Publisher: World Scientific
Release Date : 1994-04-06
Progress In Image Analysis And Processing Iii Proceedings Of The 7th International Conference On Image Analysis And Processing written by Sebastiano Impedovo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-04-06 with categories.
This volume contains the proceedings of the 7ICIAP held in Monopoli, Italy.Some of the Areas Covered Include: Active Vision, Computer Vision System; Data Structures and Representations; Feature Extraction; Geometric Modelling; Human Perception and Computer Vision; Image Analysis; Language for Image Modelling; Processing and Retrieval; Motion Analysis and Time Varying Images; Neurocomputing for Recognition; Parallel Computer Architecture; Pattern Recognition; Picture and Video Coding.
Neural Networks For Perception
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Author : Harry Wechsler
language : en
Publisher: Academic Press
Release Date : 2014-05-10
Neural Networks For Perception written by Harry Wechsler and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Computers categories.
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.
Theoretical Foundations Of Computer Vision
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Author : Walter Kropatsch
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Theoretical Foundations Of Computer Vision written by Walter Kropatsch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Computer Vision is a rapidly growing field of research investigating computational and algorithmic issues associated with image acquisition, processing, and understanding. It serves tasks like manipulation, recognition, mobility, and communication in diverse application areas such as manufacturing, robotics, medicine, security and virtual reality. This volume contains a selection of papers devoted to theoretical foundations of computer vision covering a broad range of fields, e.g. motion analysis, discrete geometry, computational aspects of vision processes, models, morphology, invariance, image compression, 3D reconstruction of shape. Several issues have been identified to be of essential interest to the community: non-linear operators; the transition between continuous to discrete representations; a new calculus of non-orthogonal partially dependent systems.
Axial Motion Stereo
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Author :
language : en
Publisher:
Release Date : 1984
Axial Motion Stereo written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.
Image Processing Analysis And Machine Vision
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Author : Milan Sonka
language : en
Publisher: Springer
Release Date : 2013-11-11
Image Processing Analysis And Machine Vision written by Milan Sonka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Computers categories.
Image Processing, Analysis and Machine Vision represent an exciting part of modern cognitive and computer science. Following an explosion of inter est during the Seventies, the Eighties were characterized by the maturing of the field and the significant growth of active applications; Remote Sensing, Technical Diagnostics, Autonomous Vehicle Guidance and Medical Imaging are the most rapidly developing areas. This progress can be seen in an in creasing number of software and hardware products on the market as well as in a number of digital image processing and machine vision courses offered at universities world-wide. There are many texts available in the areas we cover - most (indeed, all of which we know) are referenced somewhere in this book. The subject suffers, however, from a shortage of texts at the 'elementary' level - that appropriate for undergraduates beginning or completing their studies of the topic, or for Master's students - and the very rapid developments that have taken and are still taking place, which quickly age some of the very good text books produced over the last decade or so. This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision, Pattern Recognition and Intelligent Robotics at their respective institutions.