Visual Texture Recognition Using Information Trees
DOWNLOAD
Download Visual Texture Recognition Using Information Trees PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Visual Texture Recognition Using Information Trees book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Visual Texture Recognition Using Information Trees
DOWNLOAD
Author : Darrell Roy Hougen
language : en
Publisher:
Release Date : 1988
Visual Texture Recognition Using Information Trees written by Darrell Roy Hougen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Information theory categories.
Fast Texture Recognition Using Information Trees
DOWNLOAD
Author : Darrell R. Hougen
language : en
Publisher:
Release Date : 1988
Fast Texture Recognition Using Information Trees written by Darrell R. Hougen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Pattern recognition systems categories.
Iros 90
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1990
Iros 90 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Robotics categories.
Report
DOWNLOAD
Author : Harald Rosenberger
language : en
Publisher:
Release Date : 1988
Report written by Harald Rosenberger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Artificial intelligence categories.
Advances In Visual Computing
DOWNLOAD
Author : George Bebis
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-13
Advances In Visual Computing written by George Bebis 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 2008-11-13 with Computers categories.
The two volume set LNCS 5358 and LNCS 5359 constitutes the refereed proceedings of the 4th International Symposium on Visual Computing, ISVC 2008, held in Las Vegas, NV, USA, in December 2008. The 102 revised full papers and 70 poster papers presented together with 56 full and 8 poster papers of 8 special tracks were carefully reviewed and selected from more than 340 submissions. The papers are organized in topical sections on computer graphics, visualization, shape/recognition, video analysis and event recognition, virtual reality, reconstruction, motion, face/gesture, and computer vision applications. The 8 additional special tracks address issues such as object recognition, real-time vision algorithm implementation and application, computational bioimaging and visualization, discrete and computational geometry, soft computing in image processing and computer vision, visualization and simulation on immersive display devices, analysis and visualization of biomedical visual data, as well as image analysis for remote sensing data.
Robust Computer Vision
DOWNLOAD
Author : N. Sebe
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Robust Computer Vision written by N. Sebe 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 2013-06-29 with Computers categories.
From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented. Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision."
Decision Forests For Computer Vision And Medical Image Analysis
DOWNLOAD
Author : Antonio Criminisi
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-30
Decision Forests For Computer Vision And Medical Image Analysis written by Antonio Criminisi 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 2013-01-30 with Computers categories.
This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a new, general-purpose forest model. Topics and features: with a foreword by Prof. Y. Amit and Prof. D. Geman, recounting their participation in the development of decision forests; introduces a flexible decision forest model, capable of addressing a large and diverse set of image and video analysis tasks; investigates both the theoretical foundations and the practical implementation of decision forests; discusses the use of decision forests for such tasks as classification, regression, density estimation, manifold learning, active learning and semi-supervised classification; includes exercises and experiments throughout the text, with solutions, slides, demo videos and other supplementary material provided at an associated website; provides a free, user-friendly software library, enabling the reader to experiment with forests in a hands-on manner.
Visualization Handbook
DOWNLOAD
Author : Charles D. Hansen
language : en
Publisher: Elsevier
Release Date : 2011-08-30
Visualization Handbook written by Charles D. Hansen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-30 with Technology & Engineering categories.
The Visualization Handbook provides an overview of the field of visualization by presenting the basic concepts, providing a snapshot of current visualization software systems, and examining research topics that are advancing the field. This text is intended for a broad audience, including not only the visualization expert seeking advanced methods to solve a particular problem, but also the novice looking for general background information on visualization topics. The largest collection of state-of-the-art visualization research yet gathered in a single volume, this book includes articles by a "who's who of international scientific visualization researchers covering every aspect of the discipline, including:·Virtual environments for visualization·Basic visualization algorithms·Large-scale data visualization·Scalar data isosurface methods·Visualization software and frameworks·Scalar data volume rendering·Perceptual issues in visualization·Various application topics, including information visualization.* Edited by two of the best known people in the world on the subject; chapter authors are authoritative experts in their own fields;* Covers a wide range of topics, in 47 chapters, representing the state-of-the-art of scientific visualization.
Computer Vision Systems
DOWNLOAD
Author : Allen Hanson
language : en
Publisher: Elsevier
Release Date : 1978-01-01
Computer Vision Systems written by Allen Hanson and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978-01-01 with Technology & Engineering categories.
Computer Vision Systems is a collection of papers presented at the Workshop on Computer Vision Systems held at the University of Massachusetts in Amherst, Massachusetts, on June 1-3, 1977. Contributors discuss the breadth of problems that must be taken into account in the development of general computer vision systems. Topics covered include the application of system engineering techniques to the design of artificial intelligence systems; representation and segmentation of natural scenes; and pragmatic aspects of machine vision. Psychophysical measures of representation and interpretation are also considered. This monograph is divided into four sections: Issues and Research Strategies, Segmentation, Theory and Psychology, and Systems. The first chapter explores the problem of recovering the intrinsic characteristics of scenes from images, along with its implications for machine and human vision. The discussion then turns to special-purpose low-level vision systems that can be flexibly reconfigured as the need arises; design, development, and implementation of large systems from the human engineering point of view; and representation of visual information. The next section examines hierarchical relaxation for waveform parsing; the topology and semantics of intensity arrays; and visual images as spatial representations in active memory. The use of edge cues to recognize real-world objects is also analyzed. This text will be a useful resource for systems designers, computer engineers, and scientists as well as psychologists.
Exploration Of Visual Data
DOWNLOAD
Author : Sean Xiang Zhou
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Exploration Of Visual Data written by Sean Xiang Zhou 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.
Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data. Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished.