Concise Computer Vision

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Concise Computer Vision

Reinhard Klette
Concise Computer Vision Book PDF

Author : Reinhard Klette
Publisher : Springer Science & Business Media
Page : 429 pages
File Size : 55,6 Mb
Release : 2014-01-04
Category : Computers
ISBN : 9781447163206

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Concise Computer Vision by Reinhard Klette Pdf

This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.

Computer Vision

Simon J. D. Prince
Computer Vision Book PDF

Author : Simon J. D. Prince
Publisher : Cambridge University Press
Page : 599 pages
File Size : 55,6 Mb
Release : 2012-06-18
Category : Computers
ISBN : 9781107011793

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Computer Vision by Simon J. D. Prince Pdf

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Computer Vision and Applications

Bernd Jahne
Computer Vision and Applications Book PDF

Author : Bernd Jahne
Publisher : Elsevier
Page : 703 pages
File Size : 43,9 Mb
Release : 2000-05-24
Category : Computers
ISBN : 9780080502625

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Computer Vision and Applications by Bernd Jahne Pdf

Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery. Bridges the gap between theory and practical applications Covers modern concepts in computer vision as well as modern developments in imaging sensor technology Presents a unique interdisciplinary approach covering different areas of modern science

Introductory Techniques for 3-D Computer Vision

Emanuele Trucco,Alessandro Verri
Introductory Techniques for 3 D Computer Vision Book PDF

Author : Emanuele Trucco,Alessandro Verri
Publisher : Unknown
Page : 376 pages
File Size : 52,8 Mb
Release : 1998
Category : Computers
ISBN : STANFORD:36105119837941

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Introductory Techniques for 3-D Computer Vision by Emanuele Trucco,Alessandro Verri Pdf

This text provides readers with a starting point to understand and investigate the literature of computer vision, listing conferences, journals and Internet sites.

Multiple View Geometry in Computer Vision

Richard Hartley,Andrew Zisserman
Multiple View Geometry in Computer Vision Book PDF

Author : Richard Hartley,Andrew Zisserman
Publisher : Cambridge University Press
Page : 676 pages
File Size : 40,8 Mb
Release : 2003
Category : Computers
ISBN : 0521540518

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Multiple View Geometry in Computer Vision by Richard Hartley,Andrew Zisserman Pdf

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.

An Introduction to 3D Computer Vision Techniques and Algorithms

Boguslaw Cyganek,J. Paul Siebert
An Introduction to 3D Computer Vision Techniques and Algorithms Book PDF

Author : Boguslaw Cyganek,J. Paul Siebert
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 46,7 Mb
Release : 2011-08-10
Category : Science
ISBN : 9781119964476

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An Introduction to 3D Computer Vision Techniques and Algorithms by Boguslaw Cyganek,J. Paul Siebert Pdf

Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model. This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; explain scale-space vision, as well as space reconstruction and multiview integration; demonstrate a variety of practical applications for 3D surface imaging and analysis; provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.

Dictionary of Computer Vision and Image Processing

Robert B. Fisher,Toby P. Breckon,Kenneth Dawson-Howe,Andrew Fitzgibbon,Craig Robertson,Emanuele Trucco,Christopher K. I. Williams
Dictionary of Computer Vision and Image Processing Book PDF

Author : Robert B. Fisher,Toby P. Breckon,Kenneth Dawson-Howe,Andrew Fitzgibbon,Craig Robertson,Emanuele Trucco,Christopher K. I. Williams
Publisher : John Wiley & Sons
Page : 442 pages
File Size : 45,8 Mb
Release : 2013-11-08
Category : Computers
ISBN : 9781118706817

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Dictionary of Computer Vision and Image Processing by Robert B. Fisher,Toby P. Breckon,Kenneth Dawson-Howe,Andrew Fitzgibbon,Craig Robertson,Emanuele Trucco,Christopher K. I. Williams Pdf

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image Processing is a comprehensive and reliable resource which now provides explanations of over 3500 of the most commonly used terms across image processing, computer vision and related fields including machine vision. It offers clear and concise definitions with short examples or mathematical precision where necessary for clarity that ultimately makes it a very usable reference for new entrants to these fields at senior undergraduate and graduate level, through to early career researchers to help build up knowledge of key concepts. As the book is a useful source for recent terminology and concepts, experienced professionals will also find it a valuable resource for keeping up to date with the latest advances. New features of the 2nd Edition: Contains more than 1000 new terms, notably an increased focus on image processing and machine vision terms; Includes the addition of reference links across the majority of terms pointing readers to further information about the concept under discussion so that they can continue to expand their understanding; Now available as an eBook with enhanced content: approximately 50 videos to further illustrate specific terms; active cross-linking between terms so that readers can easily navigate from one related term to another and build up a full picture of the topic in question; and hyperlinked references to fully embed the text in the current literature.

Handbook of Computer Vision Algorithms in Image Algebra

Joseph N. Wilson,Gerhard X. Ritter
Handbook of Computer Vision Algorithms in Image Algebra Book PDF

Author : Joseph N. Wilson,Gerhard X. Ritter
Publisher : CRC Press
Page : 444 pages
File Size : 41,9 Mb
Release : 2000-09-21
Category : Computers
ISBN : 9781420042382

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Handbook of Computer Vision Algorithms in Image Algebra by Joseph N. Wilson,Gerhard X. Ritter Pdf

Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation

Evolutionary Computer Vision

Gustavo Olague
Evolutionary Computer Vision Book PDF

Author : Gustavo Olague
Publisher : Springer
Page : 411 pages
File Size : 50,8 Mb
Release : 2016-09-28
Category : Computers
ISBN : 9783662436936

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Evolutionary Computer Vision by Gustavo Olague Pdf

This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results for defining fitness functions and representations for problems by merging evolutionary computation with mathematical optimization to produce automatic creation of emerging visual behaviors. In the first part of the book the author surveys the literature in concise form, defines the relevant terminology, and offers historical and philosophical motivations for the key research problems in the field. For researchers from the computer vision community, he offers a simple introduction to the evolutionary computing paradigm. The second part of the book focuses on implementing evolutionary algorithms that solve given problems using working programs in the major fields of low-, intermediate- and high-level computer vision. This book will be of value to researchers, engineers, and students in the fields of computer vision, evolutionary computing, robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.

Computer Vision

Reinhard Klette,Karsten Schlüns,Andreas Koschan
Computer Vision Book PDF

Author : Reinhard Klette,Karsten Schlüns,Andreas Koschan
Publisher : Unknown
Page : 416 pages
File Size : 55,9 Mb
Release : 1998-09
Category : Computers
ISBN : UOM:39015047118537

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Computer Vision by Reinhard Klette,Karsten Schlüns,Andreas Koschan Pdf

This book explores computer vision, describing the reconstruction of object surfaces and the analysis of distances between camera and objects. Fundamentals and algorithms are presented, including topics such as dynamic stereo analysis, shape from shading, photometric stereo analysis, and structural illumination. New research results in shape reconstruction and depth analysis are also included.

Practical Guide to Machine Vision Software

Kye-Si Kwon,Steven Ready
Practical Guide to Machine Vision Software Book PDF

Author : Kye-Si Kwon,Steven Ready
Publisher : John Wiley & Sons
Page : 290 pages
File Size : 49,5 Mb
Release : 2015-04-20
Category : Computers
ISBN : 9783527337569

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Practical Guide to Machine Vision Software by Kye-Si Kwon,Steven Ready Pdf

For both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments. Following a short introduction to the basics of machine vision and the technical procedures of image acquisition, the book goes on to guide readers in the use of the various software functions of LabView's machine vision module. It covers typical machine vision tasks, including particle analysis, edge detection, pattern and shape matching, dimension measurements as well as optical character recognition, enabling readers to quickly and efficiently use these functions for their own machine vision applications. A discussion of the concepts involved in programming the Vision Development Module rounds off the book, while example problems and exercises are included for training purposes as well as to further explain the concept of machine vision. With its step-by-step guide and clear structure, this is an essential reference for beginners and experienced researchers alike.

Unsupervised Learning in Space and Time

Marius Leordeanu
Unsupervised Learning in Space and Time Book PDF

Author : Marius Leordeanu
Publisher : Springer Nature
Page : 315 pages
File Size : 49,5 Mb
Release : 2020-04-17
Category : Computers
ISBN : 9783030421281

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Unsupervised Learning in Space and Time by Marius Leordeanu Pdf

This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field. Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video. The final part of the book proposes a general strategy for visual learning over several generations of student-teacher neural networks, along with a unique view on the future of unsupervised learning in real-world contexts. Offering a fresh approach to this difficult problem, several efficient, state-of-the-art unsupervised learning algorithms are reviewed in detail, complete with an analysis of their performance on various tasks, datasets, and experimental setups. By highlighting the interconnections between these methods, many seemingly diverse problems are elegantly brought together in a unified way. Serving as an invaluable guide to the computational tools and algorithms required to tackle the exciting challenges in the field, this book is a must-read for graduate students seeking a greater understanding of unsupervised learning, as well as researchers in computer vision, machine learning, robotics, and related disciplines.

Computer Vision

Linda G. Shapiro,George C. Stockman
Computer Vision Book PDF

Author : Linda G. Shapiro,George C. Stockman
Publisher : Pearson
Page : 628 pages
File Size : 44,6 Mb
Release : 2001
Category : Computer vision
ISBN : UCSD:31822029722071

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Computer Vision by Linda G. Shapiro,George C. Stockman Pdf

For upper level courses in Computer Vision and Image Analysis.Provides necessary theory and examples for students and practitioners who will work in fields where significant information must be extracted automatically from images. Appropriate for those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing and computer cartography. The text provides a basic set of fundamental concepts and algorithms for analyzing images, and discusses some of the exciting evolving application areas of computer vision.

Machine Learning Fundamentals

Hui Jiang
Machine Learning Fundamentals Book PDF

Author : Hui Jiang
Publisher : Cambridge University Press
Page : 423 pages
File Size : 55,6 Mb
Release : 2021-11-25
Category : Computers
ISBN : 9781108837040

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Machine Learning Fundamentals by Hui Jiang Pdf

A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.

Convolutional Neural Networks in Visual Computing

Ragav Venkatesan,Baoxin Li
Convolutional Neural Networks in Visual Computing Book PDF

Author : Ragav Venkatesan,Baoxin Li
Publisher : CRC Press
Page : 204 pages
File Size : 40,5 Mb
Release : 2017-10-23
Category : Computers
ISBN : 9781351650328

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Convolutional Neural Networks in Visual Computing by Ragav Venkatesan,Baoxin Li Pdf

This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.