Visual Pattern Analyzers
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Visual Pattern Analyzers
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Author : Norma Van Surdam Graham
language : en
Publisher: Oxford University Press
Release Date : 1989-09-21
Visual Pattern Analyzers written by Norma Van Surdam Graham and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-09-21 with Medical categories.
The visual system must extract from the light that falls on the retina meaningful information about what is where in our environment. At an early stage it analyzes the incoming sensory data along many dimensions of pattern vision, e.g. spatial frequency, orientation, velocity, eye-of-origin. Visual Pattern Analyzers provides a definitive account of current knowledge about this stage of visual processing. Nowhere else can such a comprehensive summarty of the lower level pattern analyzers be found. The book's emphasis is on psychophysical experiments measuring the detection and identification of near-threshold patterns -- and the mathematical models, such as multidimensional signal-detection theory, used to draw inferences from such experimental results -- but neurophysiological evidence is presented and compared critically to the psychophysical evidence. Introductory material on psychophysical methods, signal detection theory, and the mathematics of Fourier analysis is given in order to make the book more accessible to all who are interested in the lower or higher levels of visual perception. This volume will be of great value to researchers and graduate students in the fields of vision and perception. Within the scientific community there is wide interest in the visual system, and the book will be of use to investigators in many fields, including psychophysics, neuroscience, ophthalmology and optics, computer science, and cognitive and experimental psychology.
Visual Pattern Analyzers
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Author : Norma Van Surdam Graham
language : en
Publisher:
Release Date : 2008
Visual Pattern Analyzers written by Norma Van Surdam Graham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
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Statistical Learning And Pattern Analysis For Image And Video Processing
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Author : Nanning Zheng
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-25
Statistical Learning And Pattern Analysis For Image And Video Processing written by Nanning Zheng 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 2009-07-25 with Computers categories.
Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing ?elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.
Visual Pattern Analysis
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Author : Philip Charles Muehrcke
language : en
Publisher:
Release Date : 1971
Visual Pattern Analysis written by Philip Charles Muehrcke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with categories.
Visual Pattern Analysis In Subspace Parallel Coordinates
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Author : Marcel René Hiller
language : en
Publisher:
Release Date : 2019
Visual Pattern Analysis In Subspace Parallel Coordinates written by Marcel René Hiller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Visual Pattern Analysis
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Author : Phillip Muehrcke
language : en
Publisher:
Release Date : 1969
Visual Pattern Analysis written by Phillip Muehrcke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Map reading categories.
Computational Texture And Patterns
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Author : Kristin J. Dana
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Computational Texture And Patterns written by Kristin J. Dana and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and sensors has resulted in vast amounts of raw data, but using this information effectively in a task-specific manner requires sophisticated computational representations. We enumerate specific desirable traits for these representations: (1) intraclass invariance—to support recognition; (2) illumination and geometric invariance for robustness to imaging conditions; (3) support for prediction and synthesis to use the model to infer continuation of the pattern; (4) support for change detection to detect anomalies and perturbations; and (5) support for physics-based interpretation to infer system properties from appearance. In recent years, computer vision has undergone a metamorphosis with classic algorithms adapting to new trends in deep learning. This text provides a tour of algorithm evolution including pattern recognition, segmentation and synthesis. We consider the general relevance and prominence of visual pattern analysis and applications that rely on computational models.
Auditory And Visual Pattern Recognition
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Author : David J. Getty
language : en
Publisher: Routledge
Release Date : 2017-03-31
Auditory And Visual Pattern Recognition written by David J. Getty and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-31 with Psychology categories.
The systematic scientific investigation of human perception began over 130 years ago, yet relatively little is known about how we identify complex patterns. A major reason for this is that historically, most perceptual research focused on the more basic processes involved in the detection and discrimination of simple stimuli. This work progressed in a connectionist fashion, attempting to clarify fundamental mechanisms in depth before addressing the more complex problems of pattern recognition and classification. This extensive and impressive research effort built a firm basis from which to speculate about these issues. What seemed lacking, however, was an overall characterization of the recognition problem – a broad theoretical structure to direct future research in this area. Consequently, our primary objective in this volume, originally published in 1981, was not only to review existing contributions to our understanding of classification and recognition, but to project fruitful areas and directions for future research as well. The book covers four areas: complex visual patterns; complex auditory patterns; multi-dimensional perceptual spaces; theoretical pattern recognition.
Computer Analysis Of Visual Textures
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Author : Fumiaki Tomita
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Computer Analysis Of Visual Textures written by Fumiaki Tomita 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 2013-11-11 with Computers categories.
This book presents theories and techniques for perception of textures by computer. Texture is a homogeneous visual pattern that we perceive in surfaces of objects such as textiles, tree barks or stones. Texture analysis is one of the first important steps in computer vision since texture provides important cues to recognize real-world objects. A major part of the book is devoted to two-dimensional analysis of texture patterns by extracting statistical and structural features. It also deals with the shape-from-texture problem which addresses recovery of the three-dimensional surface shapes based on the geometry of projection of the surface texture to the image plane. Perception is still largely mysterious. Realizing a computer vision system that can work in the real world requires more research and ex periment. Capability of textural perception is a key component. We hope this book will contribute to the advancement of computer vision toward robust, useful systems. vVe would like to express our appreciation to Professor Takeo Kanade at Carnegie Mellon University for his encouragement and help in writing this book; to the members of Computer Vision Section at Electrotechni cal Laboratory for providing an excellent research environment; and to Carl W. Harris at Kluwer Academic Publishers for his help in preparing the manuscript.
An Analysis Of The Perceptual Relevance Of Five Visual Pattern Characteristics
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Author : John Lowell Schaeuble
language : en
Publisher:
Release Date : 1969
An Analysis Of The Perceptual Relevance Of Five Visual Pattern Characteristics written by John Lowell Schaeuble and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Pattern perception categories.