TY  - BOOK
AU  - Millán Escrivá,David
AU  - Joshi,Prateek
AU  - G.Mendonça,Vinícius
AU  - Shilkrot,Roy
TI  - Building Computer Vision Projects with OpenCV 4 and C++: Implement Complex Computer Vision Algorithms and Explore Deep Learning and Face Detection
SN  - 1838641262
AV  - TA1634 
U1  - 006.37 23
PY  - 2019///
CY  - Birmingham
PB  - Packt Publishing Ltd
KW  - Computer vision
KW  - OpenCV (Computer program language)
KW  - Image processing
KW  - Computer algorithms
KW  - Algorithms
KW  - Vision par ordinateur
KW  - OpenCV (Langage de programmation)
KW  - Traitement d'images
KW  - Algorithmes
KW  - image processing
KW  - aat
KW  - algorithms
KW  - Programming & scripting languages: general
KW  - bicssc
KW  - Artificial intelligence
KW  - Pattern recognition
KW  - Computers
KW  - Intelligence (AI) & Semantics
KW  - bisacsh
KW  - Programming Languages
KW  - C
KW  - Computer Vision & Pattern Recognition
KW  - fast
KW  - Electronic books
N1  - Does it work well?; Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with OpenCV; Understanding the human visual system; How do humans understand image content?; Why is it difficult for machines to understand image content?; What can you do with OpenCV?; Inbuilt data structures and input/output; Image processing operations; GUI; Video analysis; 3D reconstruction; Feature extraction; Object detection; Machine learning; Computational photography; Shape analysis; Optical flow algorithms; Face and object recognition; Surface matching; Text detection and recognitionDeep learning; Installing OpenCV; Windows; Mac OS X; Linux; Summary; Chapter 2: An Introduction to the Basics of OpenCV; Technical requirements; Basic CMake configuration file; Creating a library; Managing dependencies; Making the script more complex; Images and matrices; Reading/writing images; Reading videos and cameras; Other basic object types; Vec object type; Scalar object type; Point object type; Size object type; Rect object type; RotatedRect object type; Basic matrix operations; Basic data persistence and storage; Writing to FileStorage; Summary; Chapter 3: Learning Graphical User InterfacesTechnical requirements; Introducing the OpenCV user interface; Basic graphical user interface with OpenCV; Adding slider and mouse events to our interfaces; Graphic user interface with Qt; Adding buttons to the user interface; OpenGL support; Summary; Chapter 4: Delving into Histogram and Filters; Technical requirements; Generating a CMake script file; Creating the graphical user interface; Drawing a histogram; Image color equalization; Lomography effect; Cartoonize effect; Summary; Chapter 5: Automated Optical Inspection, Object Segmentation, and DetectionTechnical requirements; Isolating objects in a scene; Creating an application for AOI; Preprocessing the input image; Noise removal; Removing the background using the light pattern for segmentation; Thresholding; Segmenting our input image; The connected components algorithm; The findContours algorithm; Summary; Chapter 6: Learning Object Classification; Technical requirements; Introducing machine learning concepts; OpenCV machine learning algorithms; Computer vision and the machine learning workflow; Automatic object inspection classification exampleFeature extraction; Training an SVM model; Input image prediction; Summary; Chapter 7: Detecting Face Parts and Overlaying Masks; Technical requirements; Understanding Haar cascades; What are integral images?; Overlaying a face mask in a live video; What happened in the code?; Get your sunglasses on; Looking inside the code; Tracking the nose, mouth, and ears; Summary; Chapter 8: Video Surveillance, Background Modeling, and Morphological Operations; Technical requirements; Understanding background subtraction; Naive background subtraction
N2  - 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
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2093826
ER  -