Learn Computer Vision Using OpenCV, Sunila Gollapudi
Автор: Hartley, Zisserman Название: Multiple View Geometry in Computer Vision ISBN: 0521540518 ISBN-13(EAN): 9780521540513 Издательство: Cambridge Academ Рейтинг: Цена: 13377 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Szeliski Название: Computer Vision ISBN: 1848829345 ISBN-13(EAN): 9781848829343 Издательство: Springer Рейтинг: Цена: 12621 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art? 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.
Описание: This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. By taking this Learning Path, you will be able to work on complex projects that involves image processing, motion detection, and image segmentation.
Автор: Marco, Leo Название: Computer Vision for Assistive Healthcare ISBN: 0128134453 ISBN-13(EAN): 9780128134450 Издательство: Elsevier Science Рейтинг: Цена: 14850 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Computer Vision for Assistive Healthcare describes how advanced computer vision techniques provide tools to support common human needs such as mental functioning, personal mobility, sensory functions and daily living activities. It describes how computer vision techniques - such as image processing, pattern recognition, machine learning and Language Processing and Computer Graphics- can cooperate with Robotics to provide such tools. The range of application areas covered are:
Daily living activities
The reader will learn:
What are the emerging computer vision techniques for supporting mental functioning and to develop a Socially Assistive Robot (SAR)
The algorithms for analysing human behaviour beginning with visual data derived from environmental and wearable sensors ('first person vision')
How smart interfaces and virtual reality tools lead to the development of advanced rehabilitation systems able to perform human action and activity recognition using vision based techniques allowing a natural interaction experience
How Robotics Agent Coachers that can assist people with movement disorders during the execution of motor exercises
The technology behind intelligent wheelchairs
How computer vision technologies have the potential to assist blind people to independently access, understand, and explore the environments (both indoor and outdoor)
Computer vision-based solutions recently employed for safety and health monitoring: Fall detection, life log, and vital parameter monitoring
The first book to give the state-of-the-art computer vision techniques and tools for assistive healthcare
Broad range of topic areas ranging from Image processing, pattern recognition, machine learning to robotics, natural language processing and computer graphics
Wide range of application areas ranging from mobility, sensory substitution, safety and security, to mental and physical rehabilitation and training
Written by leading researchers in this growing field of research
Contains pieces of code
Describes the outstanding research challenges still to be tackled, giving researchers good indicators of research opportunities
Автор: Barber Название: Bayesian Reasoning and Machine Learning ISBN: 0521518148 ISBN-13(EAN): 9780521518147 Издательство: Cambridge Academ Рейтинг: Цена: 11025 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.
Автор: Gary Rost Bradski, Adrian Kaehler Название: Learning OpenCV ISBN: 1449314651 ISBN-13(EAN): 9781449314651 Издательство: Wiley Рейтинг: Цена: 7258 р. Наличие на складе: Поставка под заказ.
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.
The second edition is updated to cover new features and changes in OpenCV 2.0, especially the C++ interface.
Computer vision is everywhere--in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book any developer or hobbyist needs to get started, with the help of hands-on exercises in each chapter.
This book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection Tracking and motion in 2 and 3 dimensions 3D reconstruction from stereo vision Machine learning algorithms
Автор: Christian W?hler Название: 3D Computer Vision ISBN: 1447159446 ISBN-13(EAN): 9781447159445 Издательство: Springer Рейтинг: Цена: 11879 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In its revised and updated new edition, this book introduces the foundations of three-dimensional computer vision and surveys recent innovations. Describes applications in industrial quality inspection and metrology, human-robot interaction and remote sensing.
Описание: Computer Vision is a rapidly expanding area and it is becoming easier for developers to make use of this field due to the ready availability of high quality libraries. This book explains the theory behind basic computer vision and offers a bridge from the theory to practical implementation using the industry standard OpenCV libraries.
Описание: Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists.
Автор: Lelis Baggio, Daniel Emami, Shervin Escriva, David Millan Ievgen, Khvedchenia Mahmood, Naureen Saragih, Jason Shilkrot, Roy Название: Mastering opencv 3 ISBN: 1786467178 ISBN-13(EAN): 9781786467171 Издательство: Неизвестно Цена: 11791 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: About This Book
Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3
Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applications
Project-based approach with each chapter being a complete tutorial, showing you how to apply OpenCV to solve complete problems
Who This Book Is For
This book is for those who have a basic knowledge of OpenCV and are competent C++ programmers. You need to have an understanding of some of the more theoretical/mathematical concepts, as we move quite quickly throughout the book.
What You Will Learn
Execute basic image processing operations and cartoonify an image
Build an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.text
Extend the natural feature tracking algorithm to support the tracking of multiple image targets on a video
Use OpenCV 3's new 3D visualization framework to illustrate the 3D scene geometry
Create an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural Networks
Train and predict pattern-recognition algorithms to decide whether an image is a number plate
Use POSIT for the six degrees of freedom head pose
Train a face recognition database using d
Описание: Presents techniques to obtain higher resolution photographs of digitally reconstructed monuments. The resulting images can serve as input to immersive walkthrough systems. This book is a giant step toward ensuring that the iconic sites of our past are always available, and will never be truly lost.
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