Description: Learn OpenCV 4 by Building Projects by Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça OpenCV is mainly used in Computer Vision and image processing and is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. This book will be your guide to understanding the basic OpenCV concepts and algorithms. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Explore OpenCV 4 to create visually appealing cross-platform computer vision applicationsKey FeaturesUnderstand basic OpenCV 4 concepts and algorithmsGrasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networksWork with Tesseract OCR, an open-source library to recognize text in imagesBook DescriptionOpenCV 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. Whether youre completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. Youll begin with the installation of OpenCV and the basics of image processing. Then, youll cover user interfaces and get deeper into image processing. As you progress through the book, youll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, youll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module.By the end of this book, youll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and youll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.What you will learnInstall OpenCV 4 on your operating systemCreate CMake scripts to compile your C++ applicationUnderstand basic image matrix formats and filtersExplore segmentation and feature extraction techniquesRemove backgrounds from static scenes to identify moving objects for surveillanceEmploy various techniques to track objects in a live videoWork with new OpenCV functions for text detection and recognition with TesseractGet acquainted with important deep learning tools for image classificationWho this book is forIf 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, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book. Author Biography David Millán Escrivá was eight years old when he wrote his first program on an 8086 PC using the BASIC language. He completed his studies in IT from the Universitat Politécnica de Valencia with honors in human-computer interaction supported by computer vision with OpenCV (v0.96). He has a masters degree in artificial intelligence, computer graphics, and pattern recognition, focusing on pattern recognition and computer vision. He also has more than nine years experience in computer vision, computer graphics, and pattern recognition. He is the author of the Damiles Blog, where he publishes articles and tutorials on OpenCV, computer vision in general, and optical character recognition algorithms. Vinícius G. Mendonça is a computer graphics university professor at Pontifical Catholic University of Paraná (PUCPR). He started programming with C++ back in 1998, and ventured into the field of computer gaming and computer graphics back in 2006. He is currently a mentor at the Apple Developer Academy in Brazil, working with, and teaching, metal, machine learning and computer vision for mobile devices. He has served as a reviewer on other Pack books, including OpenNI Cookbook, and Mastering OpenCV and Computer Vision with OpenCV 3 and Qt5. In his research, he has used Kinect, OpenNI, and OpenCV to recognize Brazilian sign language gestures. His areas of interest include mobile, OpenGL, image processing, computer vision, and project management. Prateek Joshi is an artificial intelligence researcher, an author of eight published books, and a TEDx speaker. He has been featured in Forbes 30 Under 30, CNBC, TechCrunch, Silicon Valley Business Journal, and many more publications. He is the founder of Pluto AI, a venture-funded Silicon Valley start-up building an intelligence platform for water facilities. He graduated from the University of Southern California with a Masters degree specializing in Artificial Intelligence. He has previously worked at NVIDIA and Microsoft Research. Table of Contents Table of ContentsGetting started with OpenCVAn introduction to the basics of OpenCVLearning graphical user interfacesDelving into histrograms and filtersAutomated optical inspection, object segmentation and detection Learning object classificationDetecting face parts and overlaying masksVideo surveillance, background modeling, and morphological operations Learning object trackingDeveloping segmentation algorithms for text recognitionText recognition with TesseractDeep Learning with OpenCV Long Description Explore OpenCV 4 to create visually appealing cross-platform computer vision applications Key Features Understand basic OpenCV 4 concepts and algorithms Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks Work with Tesseract OCR, an open-source library to recognize text in images 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. Whether youre completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects - Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. Youll begin with the installation of OpenCV and the basics of image processing. Then, youll cover user interfaces and get deeper into image processing. As you progress through the book, youll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, youll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. By the end of this book, youll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and youll have mastered commonly used computer vision techniques to build OpenCV projects from scratch. What you will learn Install OpenCV 4 on your operating system Create CMake scripts to compile your C++ application Understand basic image matrix formats and filters Explore segmentation and feature extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Employ various techniques to track objects in a live video Work with new OpenCV functions for text detection and recognition with Tesseract Get acquainted with important deep learning tools for image classification 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, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book. Details ISBN1789341221 Author Vinícius G. Mendonça Pages 310 Publisher Packt Publishing Limited Year 2018 ISBN-10 1789341221 ISBN-13 9781789341225 Publication Date 2018-11-30 Short Title Learn OpenCV 4 by Building Projects Language English Edition 2nd Format Paperback UK Release Date 2018-11-30 Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom AU Release Date 2018-11-30 NZ Release Date 2018-11-30 Edition Description 2nd Revised edition Subtitle Build real-world computer vision and image processing applications with OpenCV and C++, 2nd Edition DEWEY 006.37 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:126576914;
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ISBN-13: 9781789341225
Book Title: Learn OpenCV 4 by Building Projects
Item Height: 93 mm
Item Width: 75 mm
Author: Vinicius G. Mendonca, David Millan Escriva, Prateek Joshi
Publication Name: Learn OpenCV 4 by Building Projects: Build real-world computer vision and image processing applications with OpenCV and C++, 2nd Edition
Format: Paperback
Language: English
Publisher: Packt Publishing Limited
Subject: Computer Science
Publication Year: 2018
Type: Textbook
Number of Pages: 310 Pages
