内容简介
《学习OpenCV3（影印版英文版套装上下册）》将带你进入计算机视觉这个快速扩展的领域。作为开源OpenCV库的作者，AarianKaehlier（艾德里安·克勒）和GaryBradski（加里·布拉德斯基）为开发者、学术人员、机器人专家和爱好者全面介绍了OpenCV。你将学会如何构造出能够让计算机拥有“视觉”并根据数据作出决策的应用程序。
OpenCV拥有超过500个函数，涵盖了计算机视觉的多个方面，被广泛用于商业应用，如安全、医学成像、模式和面部识别、机器人学以及工厂产品检测。无论构建简单还是复杂的视觉应用，《学习OpenCV3（影印版英文版套装上下册）》都为你在计算机视觉和OpenCV方面奠定了坚实的基础。每章的习题有助于你学会运用所学到的知识。
书中涵盖了整个库，它全部是以现代C++来实现的，其中还包括用于计算机视觉的机器学习工具。目录
Preface
1．Overview
WhatIsOpenCV?
WhoUsesOpenCV?
WhatIsComputerVision?
TheOriginofOpenCV
OpenCVBlockDiagram
SpeedingUpOpenCVwithIPP
WhoOwnsOpenCV?
DownloadingandInstallingOpenCV
Installation
GettingtheLatestOpenCVviaGit
MoreOpenCVDocumentation
SuppliedDocumentation
OnlineDocumentationandtheWiki
OpenCVContributionRepository
DownloadingandBuildingContributedModules
Portability
Summary
Exercises
2．Introductionto0penCV
IncludeFiles
Resources
FirstProgram——DisplayaPicture
SecondProgram——Video
MovingAround
ASimpleTransformation
ANot-So-SimpleTransformation
InputfromaCamera
WritingtoanAVIFile
Summary
Exercises
3．GettingtoKnowOpenCVDataTypes
TheBasics
OpenCVDataTypes
OverviewoftheBasicTypes
BasicTypes：GettingDowntoDetails
HelperObjects
UtilityFunctions
TheTemplateStructures
Summary
Exercises
4．ImagesandLargeArrayTypes
DynamicandVariableStorage
Thecv：：MatClass：N-DimensionalDenseArrays
CreatinganArray
AccessingArrayElementsIndividually
TheN-aryArrayIterator：NAryMatIterator
AccessingArrayElementsbyBlock
MatrixExpressions：Algebraandcv：：Mat
SaturationCasting
MoreThingsanArrayCanDo
Thecv：：SparseMatClass：SparseArrays
AccessingSparseArrayElements
FunctionsUniquetoSparseArrays
TemplateStructuresforLargeArrayTypes
Summary
Exercises
5．ArrayOperati0ns
MoreThingsYouCanDowithArrays
cv：：abs0
cv：：absdiff（）
cv：：add0
cv：：addWeighted（）
cv：：bitwise_and（）
……
6．DrawingandAnnotating
7．FunctorsinOpenCV
8．Image，Video，andDataFiles
9．Cross-PlatformandNativeWindows
10．FiltersandConvolution
11．GeneralImageTransforms
12．ImageAnalysis
13．HistogramsandTemplates
14．Contours
15．BackgroundSubtraction
16．KeypointsandDescriptors
17．Tracking
18．CameraModelsandCalibration
19．ProjectionandThree-DimensionalVision
20．TheBasicsofMachineLearninginOpenCV
21．StatModel：TheStandardModelforLearninginOpenCV
22．ObjectDetection
23．FutureofOpenCV
A．PlanarSubdivisions
B．opencv_contrib
C．CalibrationPatterns
Bibliography
Index
