Learning OpenCV3
Kaehier, Adrian
Learning OpenCV3 computer vision in C++ with the OpenCV library - Sebastopol, CA : O'Reilly Media, 2017 - xxv, 990 p. some Colour 23 cm.
Copyright; Table of Contents; Preface; Purpose of This Book; Who This Book Is For; What This Book Is Not; About the Programs in This Book; Prerequisites; How This Book Is Best Used; Conventions Used in This Book; Using Code Examples; O'Reilly Safari; We'd Like to Hear from You; Acknowledgments; Thanks for Help on OpenCV; Thanks for Help on This Book; Adrian Adds ... ; Gary Adds ... ; Chapter 1. Overview; What Is OpenCV?; Who Uses OpenCV?; What Is Computer Vision?; The Origin of OpenCV; OpenCV Block Diagram; Speeding Up OpenCV with IPP; Who Owns OpenCV?; Downloading and Installing OpenCV. InstallationGetting the Latest OpenCV via Git; More OpenCV Documentation; Supplied Documentation; Online Documentation and the Wiki; OpenCV Contribution Repository; Downloading and Building Contributed Modules; Portability; Summary; Exercises; Chapter 2. Introduction to OpenCV; Include Files; Resources; First Program-Display a Picture; Second Program-Video; Moving Around; A Simple Transformation; A Not-So-Simple Transformation; Input from a Camera; Writing to an AVI File; Summary; Exercises; Chapter 3. Getting to Know OpenCV Data Types; The Basics; OpenCV Data Types. Overview of the Basic TypesBasic Types: Getting Down to Details; Helper Objects; Utility Functions; The Template Structures; Summary; Exercises; Chapter 4. Images and Large Array Types; Dynamic and Variable Storage; The cv::Mat Class: N-Dimensional Dense Arrays; Creating an Array; Accessing Array Elements Individually; The N-ary Array Iterator: NAryMatIterator; Accessing Array Elements by Block; Matrix Expressions: Algebra and cv::Mat; Saturation Casting; More Things an Array Can Do; The cv::SparseMat Class: Sparse Arrays; Accessing Sparse Array Elements; Functions Unique to Sparse Arrays. Template Structures for Large Array TypesSummary; Exercises; Chapter 5. Array Operations; More Things You Can Do with Arrays; cv::abs; cv::absdiff; cv::add; cv::addWeighted; cv::bitwise_and; cv::bitwise_not; cv::bitwise_or; cv::bitwise_xor; cv::calcCovarMatrix; cv::cartToPolar; cv::checkRange; cv::compare; cv::completeSymm; cv::convertScaleAbs; cv::countNonZero; cv::cvarrToMat; cv::dct; cv::dft; cv::cvtColor; cv::determinant; cv::divide; cv::eigen; cv::exp; cv::extractImageCOI; cv::flip; cv::gemm. Cv::getConvertElem and cv::getConvertScaleElemcv::idct; cv::idft; cv::inRange; cv::insertImageCOI; cv::invert; cv::log; cv::LUT; cv::magnitude; cv::Mahalanobis; cv::max; cv::mean; cv::meanStdDev; cv::merge; cv::min; cv::minMaxIdx; cv::minMaxLoc; cv::mixChannels; cv::mulSpectrums; cv::multiply; cv::mulTransposed; cv::norm; cv::normalize; cv::perspectiveTransform; cv::phase; cv::polarToCart; cv::pow; cv::randu; cv::randn; cv::randShuffle; cv::reduce; cv::repeat; cv::scaleAdd; cv::setIdentity; cv::solve; cv::solveCubic.
9789352135080
Computer vision. C++ (Computer program language)
COMPUTERS -- General.
006.37 / KAE
Learning OpenCV3 computer vision in C++ with the OpenCV library - Sebastopol, CA : O'Reilly Media, 2017 - xxv, 990 p. some Colour 23 cm.
Copyright; Table of Contents; Preface; Purpose of This Book; Who This Book Is For; What This Book Is Not; About the Programs in This Book; Prerequisites; How This Book Is Best Used; Conventions Used in This Book; Using Code Examples; O'Reilly Safari; We'd Like to Hear from You; Acknowledgments; Thanks for Help on OpenCV; Thanks for Help on This Book; Adrian Adds ... ; Gary Adds ... ; Chapter 1. Overview; What Is OpenCV?; Who Uses OpenCV?; What Is Computer Vision?; The Origin of OpenCV; OpenCV Block Diagram; Speeding Up OpenCV with IPP; Who Owns OpenCV?; Downloading and Installing OpenCV. InstallationGetting the Latest OpenCV via Git; More OpenCV Documentation; Supplied Documentation; Online Documentation and the Wiki; OpenCV Contribution Repository; Downloading and Building Contributed Modules; Portability; Summary; Exercises; Chapter 2. Introduction to OpenCV; Include Files; Resources; First Program-Display a Picture; Second Program-Video; Moving Around; A Simple Transformation; A Not-So-Simple Transformation; Input from a Camera; Writing to an AVI File; Summary; Exercises; Chapter 3. Getting to Know OpenCV Data Types; The Basics; OpenCV Data Types. Overview of the Basic TypesBasic Types: Getting Down to Details; Helper Objects; Utility Functions; The Template Structures; Summary; Exercises; Chapter 4. Images and Large Array Types; Dynamic and Variable Storage; The cv::Mat Class: N-Dimensional Dense Arrays; Creating an Array; Accessing Array Elements Individually; The N-ary Array Iterator: NAryMatIterator; Accessing Array Elements by Block; Matrix Expressions: Algebra and cv::Mat; Saturation Casting; More Things an Array Can Do; The cv::SparseMat Class: Sparse Arrays; Accessing Sparse Array Elements; Functions Unique to Sparse Arrays. Template Structures for Large Array TypesSummary; Exercises; Chapter 5. Array Operations; More Things You Can Do with Arrays; cv::abs; cv::absdiff; cv::add; cv::addWeighted; cv::bitwise_and; cv::bitwise_not; cv::bitwise_or; cv::bitwise_xor; cv::calcCovarMatrix; cv::cartToPolar; cv::checkRange; cv::compare; cv::completeSymm; cv::convertScaleAbs; cv::countNonZero; cv::cvarrToMat; cv::dct; cv::dft; cv::cvtColor; cv::determinant; cv::divide; cv::eigen; cv::exp; cv::extractImageCOI; cv::flip; cv::gemm. Cv::getConvertElem and cv::getConvertScaleElemcv::idct; cv::idft; cv::inRange; cv::insertImageCOI; cv::invert; cv::log; cv::LUT; cv::magnitude; cv::Mahalanobis; cv::max; cv::mean; cv::meanStdDev; cv::merge; cv::min; cv::minMaxIdx; cv::minMaxLoc; cv::mixChannels; cv::mulSpectrums; cv::multiply; cv::mulTransposed; cv::norm; cv::normalize; cv::perspectiveTransform; cv::phase; cv::polarToCart; cv::pow; cv::randu; cv::randn; cv::randShuffle; cv::reduce; cv::repeat; cv::scaleAdd; cv::setIdentity; cv::solve; cv::solveCubic.
9789352135080
Computer vision. C++ (Computer program language)
COMPUTERS -- General.
006.37 / KAE