Computer Vision

Algorithms and Applications

Author: Richard Szeliski

Publisher: Springer Science & Business Media

ISBN: 9781848829350

Category: Computers

Page: 812

View: 5750

DOWNLOAD NOW »

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.
Release

Computer Graphics : Algorithms and Implementations

Author: D. P. Mukherjee,Debasish Jana

Publisher: PHI Learning Pvt. Ltd.

ISBN: 8120340892

Category: Computers

Page: 583

View: 3871

DOWNLOAD NOW »

Intended as a textbook on graphics at undergraduate and postgraduate level, the primary objective of the book is to seamlessly integrate the theory of Computer Graphics with its implementation. The theory and implementation aspects are designed concisely to suit a semester-long course. Students of BE/BTech level of Computer Science, Information Technology and related disciplines will not only learn the basic theoretical concepts on Graphics, but also learn the modifications necessary in order to implement them in the discrete space of the computer screen. Practising engineers will find this book helpful as the C program implementations available in this book could be used as kernel to build a graphics system. This book is also suitable for the students of M.Sc. (Computer Science) and Computer Applications (BCA/MCA). To suit the present day need, the C implementations are done for Windows operating system exposing students to important concepts of message-driven programming. For wider acceptability, Dev C++ (an open source integrated windows program development environment) versions of the implementations of graphics programs are also included in the companion CD-ROM. This book introduces the students to Windows programming and explains the building blocks for the implementation of computer graphics algorithms. It advances on to elaborate the two-dimensional geometric transformations and the design and implementation of the algorithms of line drawing, circle drawing, drawing curves, filling and clipping. In addition, this well-written text describes three-dimensional graphics and hidden surface removal algorithms and their implementations. Finally, the book discusses illumination and shading along with the Phong illumination model. Key Features : Includes fundamental theoretical concepts of computer graphics. Contains C implementations of all basic computer graphics algorithms. Teaches Windows programming and how graphics algorithms can be tailor-made for implementations in message-driven architecture. Offers chapter-end exercises to help students test their understanding. Gives a summary at the end of each chapter to help students overview the key points of the text. Includes a companion CD containing C programs to demonstrate the implementation of graphics algorithms.
Release

Building Computer Vision Projects with OpenCV 4 and C++

Implement complex computer vision algorithms and explore deep learning and face detection

Author: David Millán Escrivá,Prateek Joshi,Vinícius G. Mendonça,Roy Shilkrot

Publisher: Packt Publishing Ltd

ISBN: 1838641262

Category: Computers

Page: 538

View: 9034

DOWNLOAD NOW »

Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithms Key Features Discover best practices for engineering and maintaining OpenCV projects Explore important deep learning tools for image classification Understand basic image matrix formats and filters Book Description OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek Joshi What you will learn Stay up-to-date with algorithmic design approaches for complex computer vision tasks Work with OpenCV's most up-to-date API through various projects Understand 3D scene reconstruction and Structure from Motion (SfM) Study camera calibration and overlay augmented reality (AR) using the ArUco module Create CMake scripts to compile your C++ application Explore segmentation and feature extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Work with new OpenCV functions to detect and recognize text with Tesseract Who this book is for If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, this Learning Path is for you. Prior knowledge of C++ and familiarity with mathematical concepts will help you better understand the concepts in this Learning Path.
Release

Computer Vision and Information Technology

Advances and Applications

Author: K. V. Kale,S. C. Mehrotra,R.R. Manza

Publisher: I. K. International Pvt Ltd

ISBN: 9380026951

Category: Computer science

Page: 1056

View: 4737

DOWNLOAD NOW »

Spread in 133 articles divided in 20 sections the present treatises broadly discusses: Part 1: Image Processing Part 2: Radar and Satellite Image Processing Part 3: Image Filtering Part 4: Content Based Image Retrieval Part 5: Color Image Processing and Video Processing Part 6: Medical Image Processing Part 7: Biometric Part 8: Network Part 9: Mobile Computing Part 10: Pattern Recognition Part 11: Pattern Classification Part 12: Genetic Algorithm Part 13: Data Warehousing and Mining Part 14: Embedded System Part 15: Wavelet Part 16: Signal Processing Part 17: Neural Network Part 18: Nanotechnology and Quantum Computing Part 19: Image Analysis Part 20: Human Computer Interaction
Release

Machine Vision Algorithms and Applications

Author: Carsten Steger,Markus Ulrich,Christian Wiedemann

Publisher: John Wiley & Sons

ISBN: 352781289X

Category: Science

Page: 280

View: 8154

DOWNLOAD NOW »

The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of the theory and a strong focus on applications. All examples are based on the latest version of the machine vision software HALCON 13.
Release

Image Processing Technologies

Algorithms, Sensors, and Applications

Author: Kiyoharu Aizawa,Katsuhiko Sakaue,Yasuhito Suenaga

Publisher: CRC Press

ISBN: 9780824750572

Category: Technology & Engineering

Page: 296

View: 9067

DOWNLOAD NOW »

Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, Image Processing Technologies tracks the evolution and advancement of computer vision and image processing (CVIP) technologies, examining methods and algorithms for image analysis, optimization, segmentation, and restoration. It focuses on recent approaches and techniques in CVIP applications development and explores various coding methods for individual types of 3-D images. This text/reference brings researchers and specialists up-to-date on the latest innovations affecting multiple image processing environments.
Release

Advances in Computer Vision and Information Technology

Author: K. V. Kale

Publisher: I. K. International Pvt Ltd

ISBN: 8189866745

Category: Computer vision

Page: 1688

View: 5736

DOWNLOAD NOW »

The latest trends in Information Technology represent a new intellectual paradigm for scientific exploration and visualization of scientific phenomena. The present treatise covers almost all the emerging technologies in the field. Academicians, engineers, industralists, scientists and researchers engaged in teaching, research and development of Computer Science and Information Technology will find the book useful for their future academic and research work. The present treatise comprising 225 articles broadly covers the following topics exhaustively. 01. Advance Networking and Security/Wireless Networking/Cyber Laws 02. Advance Software Computing 03. Artificial Intelligence/Natural Language Processing/ Neural Networks 04. Bioinformatics/Biometrics 05. Data Mining/E-Commerce/E-Learning 06. Image Processing, Content Based Image Retrieval, Medical and Bio-Medical Imaging, Wavelets 07. Information Processing/Audio and Text Processing/Cryptology, Steganography and Digital Watermarking 08. Pattern Recognition/Machine Vision/Image Motion, Video Processing 09. Signal Processing and Communication/Remote Sensing 10. Speech Processing & Recognition, Human Computer Interaction 11. Information and Communication Technology
Release

Machine Vision Algorithms in Java

Techniques and Implementation

Author: Paul F. Whelan,Derek Molloy

Publisher: Springer Science & Business Media

ISBN: 9781852332181

Category: Computers

Page: 284

View: 7175

DOWNLOAD NOW »

This book presents key machine vision techniques and algorithms, along with the associated Java source code. Special features include a complete self-contained treatment of all topics and techniques essential to the understanding and implementation of machine vision; an introduction to object-oriented programming and to the Java programming language, with particular reference to its imaging capabilities; Java source code for a wide range of real-world image processing and analysis functions; an introduction to the Java 2D imaging and Java Advanced Imaging (JAI) API; and a wide range of illustrative examples.
Release

Computer Vision

Principles, Algorithms, Applications, Learning

Author: E. R. Davies

Publisher: Academic Press

ISBN: 012809575X

Category: Computers

Page: 900

View: 2239

DOWNLOAD NOW »

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject. See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/ Three new chapters on Machine Learning emphasise the way the subject has been developing; Two chapters cover Basic Classification Concepts and Probabilistic Models; and the The third covers the principles of Deep Learning Networks and shows their impact on computer vision, reflected in a new chapter Face Detection and Recognition. A new chapter on Object Segmentation and Shape Models reflects the methodology of machine learning and gives practical demonstrations of its application. In-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics. Examples and applications—including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians—give the ‘ins and outs’ of developing real-world vision systems, showing the realities of practical implementation. Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples. The ‘recent developments’ sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject. Tailored programming examples—code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)
Release

Graphics Recognition: Algorithms and Systems

Second International Workshop, GREC'97, Nancy, France, August 22-23, 1997, Selected Papers

Author: International Workshop on Graphics Recognition,Karl Tombre,France) International Workshop on Graphics Recognition 1997 (Nancy

Publisher: Springer Science & Business Media

ISBN: 9783540643814

Category: Computers

Page: 420

View: 2230

DOWNLOAD NOW »

This book constitutes the strictly refereed post-workshop proceedings of the Second International Workshop on Graphics Recognition, GREC'97, held in Nancy, France, in August 1997. The 34 thoroughly revised full papers presented were carefully selected for inclusion in the book on the basis of a second round of post-workshop reviewing. The book is divided into sections on vectorization and segmentation, symbol recognition, form processing, map processing, engineering drawings, applications and systems, performance evaluation, and a graphics recognition contest.
Release