Learning OpenCV 3

Computer Vision in C++ with the OpenCV Library

Author: Adrian Kaehler,Gary Bradski

Publisher: "O'Reilly Media, Inc."

ISBN: 1491938005

Category: Computers

Page: 1024

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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. You’ll learn what it takes to build applications that enable computers to "see" and make decisions based on that data. With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you’ve learned. This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision. Learn OpenCV data types, array types, and array operations Capture and store still and video images with HighGUI Transform images to stretch, shrink, warp, remap, and repair Explore pattern recognition, including face detection Track objects and motion through the visual field Reconstruct 3D images from stereo vision Discover basic and advanced machine learning techniques in OpenCV

Bildverstehen

Author: Axel Pinz

Publisher: Springer-Verlag

ISBN: 3709193583

Category: Computers

Page: 235

View: 4810

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Bildverstehen, Bilder und die ihnen zugrundeliegenden Szenen mit den darin vorkommenden Objekten verstehen und beschreiben, das bedeutet aus der Sicht der Informatik: Sehen mit dem Computer - ‘Computer Vision’. Das Buch behandelt neben wichtigen Merkmalen des menschlichen visuellen Systems auch die nötigen Grundlagen aus digitaler Bildverarbeitung und aus künstlicher Intelligenz. Im Zentrum steht die schrittweise Entwicklung eines neuen Systemmodells für Bildverstehen, anhand dessen verschiedene "Abstraktionsebenen" des maschinellen Sehens, wie Segmentation, Gruppierung auf Aufbau einer Szenenbeschreibung besprochen werden. Das Buch bietet außerdem einen Überblick über gegenwärtige Trends in der Forschung sowie eine sehr aktuelle und ausführliche Bibliographie dieses Fachgebietes. Es liegt hiermit erstmalig eine abgeschlossene, systematische Darstellung dieses noch jungen und in dynamischer Entwicklung begriffenen Fachgebietes vor.

Python kurz & gut

Author: Mark Lutz

Publisher: O'Reilly Germany

ISBN: 3955617718

Category: Computers

Page: 280

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Die objektorientierte Sprache Python eignet sich hervorragend zum Schreiben von Skripten, Programmen und Prototypen. Sie ist frei verfügbar, leicht zu lernen und zwischen allen wichtigen Plattformen portabel, einschließlich Linux, Unix, Windows und Mac OS. Damit Sie im Programmieralltag immer den Überblick behalten, sind die verschiedenen Sprachmerkmale und Elemente in Python – kurz & gut übersichtlich zusammengestellt. Für Auflage 5 wurde die Referenz komplett überarbeitet, erweitert und auf den neuesten Stand gebracht, so dass sie die beiden aktuellen Versionen 2.7 und 3.4 berücksichtigt. Python – kurz & gut behandelt unter anderem: Eingebaute Typen wie Zahlen, Listen, Dictionarys u.v.a.; nweisungen und Syntax für Entwicklung und Ausführung von Objekten; Die objektorientierten Entwicklungstools in Python; Eingebaute Funktionen, Ausnahmen und Attribute; pezielle Methoden zur Operatorenüberladung; Weithin benutzte Standardbibliotheksmodule und Erweiterungen; Kommandozeilenoptionen und Entwicklungswerkzeuge. Mark Lutz stieg 1992 in die Python-Szene ein und ist seitdem als aktiver Pythonista bekannt. Er gibt Kurse, hat zahlreiche Bücher geschrieben und mehrere Python-Systeme programmiert.

Learning OpenCV 3 Computer Vision with Python - Second Edition

Author: Joe Minichino

Publisher: N.A

ISBN: 9781785283840

Category: Computers

Page: 266

View: 1865

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Unleash the power of computer vision with Python using OpenCVAbout This Book• Create impressive applications with OpenCV and Python• Familiarize yourself with advanced machine learning concepts• Harness the power of computer vision with this easy-to-follow guideWho This Book Is ForIntended for novices to the world of OpenCV and computer vision, as well as OpenCV veterans that want to learn about what's new in OpenCV 3, this book is useful as a reference for experts and a training manual for beginners, or for anybody who wants to familiarize themselves with the concepts of object classification and detection in simple and understandable terms. Basic knowledge about Python and programming concepts is required, although the book has an easy learning curve both from a theoretical and coding point of view.What You Will Learn• Install and familiarize yourself with OpenCV 3's Python API• Grasp the basics of image processing and video analysis• Identify and recognize objects in images and videos• Detect and recognize faces using OpenCV• Train and use your own object classifiers• Learn about machine learning concepts in a computer vision context• Work with artificial neural networks using OpenCV• Develop your own computer vision real-life applicationIn DetailOpenCV 3 is a state-of-the-art computer vision library that allows a great variety of image and video processing operations. Some of the more spectacular and futuristic features such as face recognition or object tracking are easily achievable with OpenCV 3. Learning the basic concepts behind computer vision algorithms, models, and OpenCV's API will enable the development of all sorts of real-world applications, including security and surveillance.Starting with basic image processing operations, the book will take you through to advanced computer vision concepts. Computer vision is a rapidly evolving science whose applications in the real world are exploding, so this book will appeal to computer vision novices as well as experts of the subject wanting to learn the brand new OpenCV 3.0.0. You will build a theoretical foundation of image processing and video analysis, and progress to the concepts of classification through machine learning, acquiring the technical know-how that will allow you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Finally, the journey will end in the world of artificial neural networks, along with the development of a hand-written digits recognition application.Style and approachThis book is a comprehensive guide to the brand new OpenCV 3 with Python to develop real-life computer vision applications.

Digitale Bildverarbeitung

Eine Einführung mit Java und ImageJ

Author: Wilhelm Burger,Mark James Burge

Publisher: Springer-Verlag

ISBN: 354027653X

Category: Computers

Page: 532

View: 7122

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Die Autoren geben eine fundierte Einführung in die wichtigsten Methoden der digitalen Bildverarbeitung. Dabei steht die praktische Anwendbarkeit im Vordergrund, formale und mathematische Aspekte sind auf das Wesentliche reduziert, ohne dabei auf eine präzise und konsistente Vorgehensweise zu verzichten. Der Text eignet sich für technisch orientierte Studiengänge ab dem 3.Semester und basiert auf der mehrjährigen Lehrerfahrung der Autoren zu diesem Thema. Der Einsatz in der Lehre wird durch zahlreiche praktische Übungsaufgaben unterstützt. Das Buch eignet sich auch als detaillierte Referenz für Praktiker und Anwender gängiger Verfahren der digitalen Bildverarbeitung, z.B. in der Medizin, der Materialprüfung, der Robotik oder der Medientechnik. Softwareseitig basiert das Buch auf der in Java implementierten und frei verfügbaren Bildverarbeitungsumgebung ImageJ.

OpenCV 3 Computer Vision with Python Cookbook

Leverage the power of OpenCV 3 and Python to build computer vision applications

Author: Aleksei Spizhevoi,Aleksandr Rybnikov

Publisher: Packt Publishing Ltd

ISBN: 1788478754

Category: Computers

Page: 306

View: 3964

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Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs Key Features ●Build computer vision applications with OpenCV functionality via Python API ●Get to grips with image processing, multiple view geometry, and machine learning ●Learn to use deep learning models for image classification, object detection, and face recognition Book Description OpenCV 3 is a native cross-platform library for computer vision, machine learning, and image processing. OpenCV's convenient high-level APIs hide very powerful internals designed for computational efficiency that can take advantage of multicore and GPU processing. This book will help you tackle increasingly challenging computer vision problems by providing a number of recipes that you can use to improve your applications. In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms. Then, we'll show you how to apply image filters to enhance image content and exploit the image geometry in order to relay different views of a pictured scene. We’ll explore techniques to achieve camera calibration and perform a multiple-view analysis. Later, you’ll work on reconstructing a 3D scene from images, converting low-level pixel information to high-level concepts for applications such as object detection and recognition. You’ll also discover how to process video from files or cameras and how to detect and track moving objects. Finally, you'll get acquainted with recent approaches in deep learning and neural networks. By the end of the book, you’ll be able to apply your skills in OpenCV to create computer vision applications in various domains. What you will learn ●Get familiar with low-level image processing methods ●See the common linear algebra tools needed in computer vision ●Work with different camera models and epipolar geometry ●Find out how to detect interesting points in images and compare them ●Binarize images and mask out regions of interest ●Detect objects and track them in videos Who this book is for This book is for developers who have a basic knowledge of Python. If you are aware of the basics of OpenCV and are ready to build computer vision systems that are smarter, faster, more complex, and more practical than the competition, then this book is for you.

Matlab für Dummies

Author: Jim Sizemore

Publisher: John Wiley & Sons

ISBN: 352780871X

Category: Computers

Page: 416

View: 790

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Ob Naturwissenschaftler, Mathematiker, Ingenieur oder Datenwissenschaftler - mit MATLAB haben Sie ein mächtiges Tool in der Hand, das Ihnen die Arbeit mit Ihren Daten erleichtert. Aber wie das mit manch mächtigen Dingen so ist - es ist auch ganz schön kompliziert. Aber keine Sorge! Jim Sizemore führt Sie in diesem Buch Schritt für Schritt an das Programm heran - von der Installation und den ersten Skripten bis hin zu aufwändigen Berechnungen, der Erstellung von Grafiken und effizienter Fehlerbehebung. Sie werden begeistert sein, was Sie mit MATLAB alles anstellen können.

Praxiseinstieg Deep Learning

Mit Python, Caffe, TensorFlow und Spark eigene Deep-Learning-Anwendungen erstellen

Author: Ramon Wartala

Publisher: O'Reilly

ISBN: 3960101570

Category: Computers

Page: 226

View: 1013

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Deep Learning ist ein Teilbereich des Machine Learning und basiert auf künstlichen neuronalen Netzen. Dieser praktische Leitfaden bietet einen schnellen Einstieg in die Schlüsseltechnologie und erschließt Grundlagen und Arbeitsweisen von Deep Learning. Anhand Python-basierter Beispielanwendungen wird der Umgang mit den Frameworks Caffe/Caffe2 und TensorFlow gezeigt. Einfache, alltagstaugliche Beispiele laden zum Nachprogrammieren ein. Darüber hinaus erfahren Sie, warum moderne Grafikkarten, Big Data und Cloud Computing beim Deep Learning so wichtig sind. Wenn Sie bereits mit Python, NumPy und matplotlib arbeiten, ermöglicht Ihnen dieses Buch, praktische Erfahrungen mit Deep-Learning-Anwendungen zu machen. Deep Learning – die Hintergründe - Lernmethoden, die Deep Learning zugrunde liegen - Aktuelle Anwendungsfelder wie maschinelle Übersetzungen, Sprach- und Bilderkennung bei Google, Facebook, IBM oder Amazon Der Werkzeugkasten mit Docker - Der Docker-Container zum Buch: Alle nötigen Tools und Programme sind bereits installiert, damit Sie die Beispiele des Buchs und eigene Deep-Learning-Anwendungen leicht ausführen können. - Die Arbeitsumgebung kennenlernen: Jupyter Notebook, Beispieldatensätze, Web Scraping Der Praxiseinstieg - Einführung in Caffe/Caffe2 und TensorFlow - Deep-Learning-Anwendungen nachprogrammieren: Handschrifterkennung, Bilderkennung und -klassifizierung, Deep Dreaming - Lösungen für Big-Data-Szenarien: verteilte Anwendungen, Spark, Cloud-Systeme - Modelle in produktive Systeme überführen

Moderne C++ Programmierung

Klassen, Templates, Design Patterns

Author: Ralf Schneeweiß

Publisher: Springer-Verlag

ISBN: 3642214290

Category: Computers

Page: 393

View: 2183

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C++ ist eine objektorientierte Programmiersprache – neben der Objektorientierung gewinnt aber die generische Programmierung zunehmend an Bedeutung. Das Buch liefert eine fundierte Darstellung des modernen Programmdesigns in C++ gemäß dem ANSI- bzw. dem ISO-Standard. Der Autor behandelt zunächst die grundlegenden Sprachelemente von C++, dann erläutert er detailliert die klassische objektorientierte Modellierung sowie die modernen Techniken der generischen oder aspektorientierten Programmierung mittels Templates und Design Patterns.

Mastering OpenCV with Practical Computer Vision Projects

Author: Daniel Lélis Baggio

Publisher: Packt Publishing Ltd

ISBN: 1849517835

Category: Computers

Page: 340

View: 4584

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Each chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code, and includes the necessary screenshots. You should have basic OpenCV and C/C++ programming experience before reading this book, as it is aimed at Computer Science graduates, researchers, and computer vision experts widening their expertise.

OpenCV with Python Blueprints

Author: Michael Beyeler

Publisher: Packt Publishing Ltd

ISBN: 1785289861

Category: Computers

Page: 230

View: 9028

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Design and develop advanced computer vision projects using OpenCV with Python About This Book Program advanced computer vision applications in Python using different features of the OpenCV library Practical end-to-end project covering an important computer vision problem All projects in the book include a step-by-step guide to create computer vision applications Who This Book Is For This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications. Readers are expected to be familiar with OpenCV's concepts and Python libraries. Basic knowledge of Python programming is expected and assumed. What You Will Learn Generate real-time visual effects using different filters and image manipulation techniques such as dodging and burning Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Learn feature extraction and feature matching for tracking arbitrary objects of interest Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Track visually salient objects by searching for and focusing on important regions of an image Detect faces using a cascade classifier and recognize emotional expressions in human faces using multi-layer peceptrons (MLPs) Recognize street signs using a multi-class adaptation of support vector machines (SVMs) Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a native cross platform C++ Library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. OpenCV has C++/C, Python, and Java interfaces with support for Windows, Linux, Mac, iOS, and Android. Developers using OpenCV build applications to process visual data; this can include live streaming data from a device like a camera, such as photographs or videos. OpenCV offers extensive libraries with over 500 functions This book demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this book teach the reader how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization. By the end of this book, readers will be OpenCV experts whose newly gained experience allows them to develop their own advanced computer vision applications. Style and approach This book covers independent hands-on projects that teach important computer vision concepts like image processing and machine learning for OpenCV with multiple examples.

Fine Art Printing für Fotografen

Hochwertige Fotodrucke mit Inkjet-Druckern

Author: Jürgen Gulbins,Uwe Steinmüller

Publisher: dpunkt.verlag

ISBN: 3960884648

Category: Photography

Page: 514

View: 7874

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Digitale Kameras liefern bereits heute Bilddaten, die eine großformatige Ausgabe in höchster Qualität erlauben. Aber auch die Drucktechnik hat mit der Entwicklung der Bildsensoren Schritt gehalten: Inkjet-Systeme mit höchster Präzision und Auflösung, Tinten, die feinste Tonwertabstufungen darstellen können und langfristige Farbstabilität bieten – und das alles zu Preisen, die auch für den anspruchsvollen Amateur erschwinglich sind.Fine Art Printing ist kein Buch über Drucktechnik, sondern ein Buch von Fotografen für Fotografen. Es zeigt Ihnen, wie man einen geeigneten Drucker auswählt, wie man hochwertige Fotodrucke mit guten Inkjet-Druckern herstellt und wie man den fotografischen Workflow zur optimalen Vorbereitung der Bilddaten anlegt.Das Buch erläutert, wie man diesen letzten Arbeitsschritt in der "digitalen Dunkelkammer" meistert, um perfekte, ausstellungsreife und langlebige Drucke zu erzeugen. Die nötigen Grundlagen des Farbmanagements und der Profilerstellung werden ebenso behandelt wie die Auswahl geeigneter Drucker, Papiere und Tinten sowie das Optimieren der Fotos für den Druck. Auch die Nachbehandlung der gedruckten Bilder und Möglichkeiten der Bildpräsentation werden angesprochen.Die 5. Auflage berücksichtigt neben Photoshop 5,6 und CC neue Filter, aktuelle RIPs sowie neue Druckertypen und Papierarten. Es deckt auch ausführlich das Drucken auf Lightroom (inklusive Lightroom Classic) ab. Es ist damit das einzige deutschsprachige Buch in dieser Tiefe und Vollständigkeit.

OpenCV 2 Computer Vision Application Programming Cookbook

Over 50 Recipes to Master this Library of Programming Functions for Real-time Computer Vision

Author: Robert Laganière

Publisher: Packt Publishing Ltd

ISBN: 1849513252

Category: Computers

Page: 287

View: 2548

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Over 50 recipes to master this library of programming functions for real-time computer vision.

Learning OpenCV 3 Application Development

Author: Samyak Datta

Publisher: Packt Publishing Ltd

ISBN: 1784399132

Category: Computers

Page: 310

View: 6943

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Build, create, and deploy your own computer vision applications with the power of OpenCV About This Book This book provides hands-on examples that cover the major features that are part of any important Computer Vision application It explores important algorithms that allow you to recognize faces, identify objects, extract features from images, help your system make meaningful predictions from visual data, and much more All the code examples in the book are based on OpenCV 3.1 – the latest version Who This Book Is For This is the perfect book for anyone who wants to dive into the exciting world of image processing and computer vision. This book is aimed at programmers with a working knowledge of C++. Prior knowledge of OpenCV or Computer Vision/Machine Learning is not required. What You Will Learn Explore the steps involved in building a typical computer vision/machine learning application Understand the relevance of OpenCV at every stage of building an application Harness the vast amount of information that lies hidden in images into the apps you build Incorporate visual information in your apps to create more appealing software Get acquainted with how large-scale and popular image editing apps such as Instagram work behind the scenes by getting a glimpse of how the image filters in apps can be recreated using simple operations in OpenCV Appreciate how difficult it is for a computer program to perform tasks that are trivial for human beings Get to know how to develop applications that perform face detection, gender detection from facial images, and handwritten character (digit) recognition In Detail Computer vision and machine learning concepts are frequently used in practical computer vision based projects. If you're a novice, this book provides the steps to build and deploy an end-to-end application in the domain of computer vision using OpenCV/C++. At the outset, we explain how to install OpenCV and demonstrate how to run some simple programs. You will start with images (the building blocks of image processing applications), and see how they are stored and processed by OpenCV. You'll get comfortable with OpenCV-specific jargon (Mat Point, Scalar, and more), and get to know how to traverse images and perform basic pixel-wise operations. Building upon this, we introduce slightly more advanced image processing concepts such as filtering, thresholding, and edge detection. In the latter parts, the book touches upon more complex and ubiquitous concepts such as face detection (using Haar cascade classifiers), interest point detection algorithms, and feature descriptors. You will now begin to appreciate the true power of the library in how it reduces mathematically non-trivial algorithms to a single line of code! The concluding sections touch upon OpenCV's Machine Learning module. You will witness not only how OpenCV helps you pre-process and extract features from images that are relevant to the problems you are trying to solve, but also how to use Machine Learning algorithms that work on these features to make intelligent predictions from visual data! Style and approach This book takes a very hands-on approach to developing an end-to-end application with OpenCV. To avoid being too theoretical, the description of concepts are accompanied simultaneously by the development of applications. Throughout the course of the book, the projects and practical, real-life examples are explained and developed step by step in sync with the theory.

Kryptografie verständlich

Ein Lehrbuch für Studierende und Anwender

Author: Christof Paar,Jan Pelzl

Publisher: Springer-Verlag

ISBN: 3662492970

Category: Computers

Page: 416

View: 9408

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Das Buch gibt eine umfassende Einführung in moderne angewandte Kryptografie. Es behandelt nahezu alle kryptografischen Verfahren mit praktischer Relevanz. Es werden symmetrische Verfahren (DES, AES, PRESENT, Stromchiffren), asymmetrische Verfahren (RSA, Diffie-Hellmann, elliptische Kurven) sowie digitale Signaturen, Hash-Funktionen, Message Authentication Codes sowie Schlüsselaustauschprotokolle vorgestellt. Für alle Krypto-Verfahren werden aktuelle Sicherheitseinschätzungen und Implementierungseigenschaften beschrieben.

Schuldlos schuldig

Author: Susan Sloan

Publisher: Knaur eBook

ISBN: 3426426420

Category: Fiction

Page: 656

View: 979

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Dreißig Jahre vergehen, doch dann bringt eine Frau das Unmögliche fertig und rechnet mit dem Mann ab, der ihr Leben zerstört hat. Als junges Mädchen war sie von ihm vergewaltigt worden und konnte nie verwinden, dass diese Tat ungesühnt blieb.

OpenCV 3 Computer Vision Application Programming Cookbook

Author: Robert Laganiere

Publisher: Packt Publishing Ltd

ISBN: 1786469111

Category: Computers

Page: 474

View: 4644

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Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3 About This Book Written to the latest, gold-standard specification of OpenCV 3 Master OpenCV, the open source library of the computer vision community Master fundamental concepts in computer vision and image processing Learn about the important classes and functions of OpenCV with complete working examples applied to real images Who This Book Is For OpenCV 3 Computer Vision Application Programming Cookbook Third Edition is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers who wish to be introduced to the concepts of computer vision programming. It can also be used as a companion book for university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision. What You Will Learn Install and create a program using the OpenCV library Process an image by manipulating its pixels Analyze an image using histograms Segment images into homogenous regions and extract meaningful objects Apply image filters to enhance image content Exploit the image geometry in order to relay different views of a pictured scene Calibrate the camera from different image observations Detect people and objects in images using machine learning techniques Reconstruct a 3D scene from images In Detail Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications. This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering. The most recent methods for image matching and object recognition are described, and you'll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you'll also get acquainted with recent approaches in machine learning and object classification. Style and approach This book will arm you with the basics you need to start writing world-aware applications right from a pixel level all the way through to processing video sequences.