Introductory Computer Vision And Image Processing
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Introductory Computer Vision And Image Processing
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Author : Adrian Low
language : en
Publisher:
Release Date : 1991
Introductory Computer Vision And Image Processing written by Adrian Low and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computer vision categories.
Introductory Computer Vision And Image Processing
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Author : Adrian Low
language : en
Publisher: McGraw-Hill Companies
Release Date : 1991
Introductory Computer Vision And Image Processing written by Adrian Low and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
Computer Vision And Image Processing
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Author : S. Nagabhushana
language : en
Publisher: New Age International
Release Date : 2005
Computer Vision And Image Processing written by S. Nagabhushana and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computer vision categories.
An Attempt Has Been Made To Explain The Concepts Of Computer Vision And Image Processing In A Simple Manner With The Help Of Number Of Algorithms And Live Examples. I Sincerely Hope That The Book Will Give Complete Information About Computer Vision And Image Processing To The Reader.It Not Only Serves As An Introductory Academic Text, But Also Helps Practicing Professionals To Implement Various Computer Vision And Image Processing Algorithms In Real-Time Projects.
Image Processing Analysis And Machine Vision
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Author : Milan Sonka
language : en
Publisher: Springer
Release Date : 1993
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 1993 with Computers categories.
This textbook gives details of recent developments in the field of image processing, machine vision and analysis. Based on the original book published in Czech, this English edition has been expanded to include 3D vision, neural networks and invariants.
A Practical Introduction To Computer Vision With Opencv
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Author : Kenneth Dawson-Howe
language : en
Publisher: John Wiley & Sons
Release Date : 2014-03-20
A Practical Introduction To Computer Vision With Opencv written by Kenneth Dawson-Howe and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-20 with Computers categories.
Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries (such as OpenCV 2). This text is intended to facilitate the practical use of computer vision with the goal being to bridge the gap between the theory and the practical implementation of computer vision. The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous. We are now surrounded by cameras, for example cameras on computers & tablets/ cameras built into our mobile phones/ cameras in games consoles; cameras imaging difficult modalities (such as ultrasound, X-ray, MRI) in hospitals, and surveillance cameras. This book is concerned with helping the next generation of computer developers to make use of all these images in order to develop systems which are more intuitive and interact with us in more intelligent ways. Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Offers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issues Provides enough material for a one semester course in computer vision at senior undergraduate and Masters levels Includes the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; features detection; recognition in images Contains a large number of vision application problems to provide students with the opportunity to solve real problems. Images or videos for these problems are provided in the resources associated with this book which include an enhanced eBook
Handbook Of Computer Vision And Applications Sensors And Imaging
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Author : Bernd Jähne
language : en
Publisher:
Release Date : 1999
Handbook Of Computer Vision And Applications Sensors And Imaging written by Bernd Jähne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
CD-ROM files contain complete text of all three print vols., as well as hyperlinks to figures, tables, etc. and between the index and the text. Also included are hyperlinks to movies, interactive 3-D models, demonstration software and other materials not contained in the print version.
Introduction To Visual Computing
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Author : Aditi Majumder
language : en
Publisher: CRC Press
Release Date : 2018-01-31
Introduction To Visual Computing written by Aditi Majumder and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-31 with Computers categories.
Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating visual data (e.g. 2D images, 3D models). Fundamentals covered in the book include convolution, Fourier transform, filters, geometric transformations, epipolar geometry, 3D reconstruction, color and the image synthesis pipeline. The book is organized in four parts. The first part provides an exposure to different kinds of visual data (e.g. 2D images, videos and 3D geometry) and the core mathematical techniques that are required for their processing (e.g. interpolation and linear regression.) The second part of the book on Image Based Visual Computing deals with several fundamental techniques to process 2D images (e.g. convolution, spectral analysis and feature detection) and corresponds to the low level retinal image processing that happens in the eye in the human visual system pathway. The next part of the book on Geometric Visual Computing deals with the fundamental techniques used to combine the geometric information from multiple eyes creating a 3D interpretation of the object and world around us (e.g. transformations, projective and epipolar geometry, and 3D reconstruction). This corresponds to the higher level processing that happens in the brain combining information from both the eyes thereby helping us to navigate through the 3D world around us. The last two parts of the book cover Radiometric Visual Computing and Visual Content Synthesis. These parts focus on the fundamental techniques for processing information arising from the interaction of light with objects around us, as well as the fundamentals of creating virtual computer generated worlds that mimic all the processing presented in the prior sections. The book is written for a 16 week long semester course and can be used for both undergraduate and graduate teaching, as well as a reference for professionals.
Introductory Techniques For 3 D Computer Vision
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Author : Emanuele Trucco
language : en
Publisher:
Release Date : 1998
Introductory Techniques For 3 D Computer Vision written by Emanuele Trucco and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
This text provides readers with a starting point to understand and investigate the literature of computer vision, listing conferences, journals and Internet sites.
A Practical Introduction To Computer Vision With Opencv Enhanced Edition
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Author : Kenneth Dawson-Howe
language : en
Publisher: John Wiley & Sons
Release Date : 2014-04-24
A Practical Introduction To Computer Vision With Opencv Enhanced Edition written by Kenneth Dawson-Howe and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-24 with Computers categories.
Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries (such as OpenCV 2). This text is intended to facilitate the practical use of computer vision with the goal being to bridge the gap between the theory and the practical implementation of computer vision. The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous. We are now surrounded by cameras, for example cameras on computers & tablets/ cameras built into our mobile phones/ cameras in games consoles; cameras imaging difficult modalities (such as ultrasound, X-ray, MRI) in hospitals, and surveillance cameras. This book is concerned with helping the next generation of computer developers to make use of all these images in order to develop systems which are more intuitive and interact with us in more intelligent ways. Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Offers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issues Provides enough material for a one semester course in computer vision at senior undergraduate and Masters levels Includes the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; features detection; recognition in images Contains a large number of vision application problems to provide students with the opportunity to solve real problems. Images or videos for these problems are provided in the resources associated with this book which include an enhanced eBook
Introduction To Image Processing Using R
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Author : Alejandro C. Frery
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-02-01
Introduction To Image Processing Using R written by Alejandro C. Frery 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 2013-02-01 with Computers categories.
This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.