Holdings: Mastering OpenCV with Practical Computer Vision Projects.

Mastering OpenCV with Practical Computer Vision Projects.:

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...

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Bibliographic Details
Main Author:	Emami, Shervin
Other Authors:	Levgen, Khvedchenia
Format:	Electronic eBook
Language:	English
Published:	Birmingham : Packt Pub., 2012.
Subjects:	OpenCV. Computer vision. Vision par ordinateur. COMPUTERS > General. Computer vision
Online Access:	DE-862 DE-863
Summary:	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.
Item Description:	Summary.
Physical Description:	1 online resource (701 pages)
Bibliography:	Includes bibliographical references and index.
ISBN:	9781849517836 1849517835

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MARC


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505	0		\|a Table of Contents; Mastering OpenCV with Practical Computer Vision Projects; Mastering OpenCV with Practical Computer Vision Projects; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. Cartoonifier and Skin Changer for Android; Accessing the webcam.
505	8		\|a Main camera processing loop for a desktop appGenerating a black-and-white sketch; Generating a color painting and a cartoon; Generating an ""evil"" mode using edge filters; Generating an ""alien"" mode using skin detection; Skin-detection algorithm; Showing the user where to put their face; Implementation of the skin-color changer; Porting from desktop to Android; Setting up an Android project that uses OpenCV; Color formats used for image processing on Android; Input color format from the camera; Output color format for display; Adding the cartoonifier code to the Android NDK app.
505	8		\|a Reviewing the Android appCartoonifying the image when the user taps the screen; Saving the image to a file and to the Android picture gallery; Showing an Android notification message about a saved image; Changing cartoon modes through the Android menu bar; Reducing the random pepper noise from the sketch image; Showing the FPS of the app; Using a different camera resolution; Customizing the app; Summary; 2. Marker-based Augmented Reality on iPhone or iPad; Creating an iOS project that uses OpenCV; Adding OpenCV framework; Including OpenCV headers; Application architecture.
505	8		\|a Accessing the cameraMarker detection; Marker identification; Grayscale conversion; Image binarization; Contours detection; Candidates search; Marker code recognition; Reading marker code; Marker location refinement; Placing a marker in 3D; Camera calibration; Marker pose estimation; Rendering the 3D virtual object; Creating the OpenGL rendering layer; Rendering an AR scene; Summary; References; 3. Marker-less Augmented Reality; Marker-based versus marker-less AR; Using feature descriptors to find an arbitrary image on video; Feature extraction; Definition of a pattern object.
505	8		\|a Matching of feature pointsPatternDetector.cpp; Outlier removal; Cross-match filter; Ratio test; PatternDetector.cpp; Homography estimation; PatternDetector.cpp; Homography refinement; PatternDetector.cpp; Putting it all together; Pattern pose estimation; PatternDetector.cpp; Obtaining the camera-intrinsic matrix; Pattern.cpp; Application infrastructure; ARPipeline.hpp; ARPipeline.cpp; Enabling support for 3D visualization in OpenCV; Creating OpenGL windows using OpenCV; Video capture using OpenCV; Rendering augmented reality; ARDrawingContext.hpp; ARDrawingContext.cpp; Demonstration; main.cpp.
500			\|a Summary.
520			\|a 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.
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700	1		\|a Levgen, Khvedchenia.
776	0	8	\|i Print version: \|a Emami, Shervin. \|t Mastering OpenCV with Practical Computer Vision Projects. \|d Birmingham : Packt Publishing, ©2012 \|z 9781849517829
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contents	Table of Contents; Mastering OpenCV with Practical Computer Vision Projects; Mastering OpenCV with Practical Computer Vision Projects; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. Cartoonifier and Skin Changer for Android; Accessing the webcam. Main camera processing loop for a desktop appGenerating a black-and-white sketch; Generating a color painting and a cartoon; Generating an ""evil"" mode using edge filters; Generating an ""alien"" mode using skin detection; Skin-detection algorithm; Showing the user where to put their face; Implementation of the skin-color changer; Porting from desktop to Android; Setting up an Android project that uses OpenCV; Color formats used for image processing on Android; Input color format from the camera; Output color format for display; Adding the cartoonifier code to the Android NDK app. Reviewing the Android appCartoonifying the image when the user taps the screen; Saving the image to a file and to the Android picture gallery; Showing an Android notification message about a saved image; Changing cartoon modes through the Android menu bar; Reducing the random pepper noise from the sketch image; Showing the FPS of the app; Using a different camera resolution; Customizing the app; Summary; 2. Marker-based Augmented Reality on iPhone or iPad; Creating an iOS project that uses OpenCV; Adding OpenCV framework; Including OpenCV headers; Application architecture. Accessing the cameraMarker detection; Marker identification; Grayscale conversion; Image binarization; Contours detection; Candidates search; Marker code recognition; Reading marker code; Marker location refinement; Placing a marker in 3D; Camera calibration; Marker pose estimation; Rendering the 3D virtual object; Creating the OpenGL rendering layer; Rendering an AR scene; Summary; References; 3. Marker-less Augmented Reality; Marker-based versus marker-less AR; Using feature descriptors to find an arbitrary image on video; Feature extraction; Definition of a pattern object. Matching of feature pointsPatternDetector.cpp; Outlier removal; Cross-match filter; Ratio test; PatternDetector.cpp; Homography estimation; PatternDetector.cpp; Homography refinement; PatternDetector.cpp; Putting it all together; Pattern pose estimation; PatternDetector.cpp; Obtaining the camera-intrinsic matrix; Pattern.cpp; Application infrastructure; ARPipeline.hpp; ARPipeline.cpp; Enabling support for 3D visualization in OpenCV; Creating OpenGL windows using OpenCV; Video capture using OpenCV; Rendering augmented reality; ARDrawingContext.hpp; ARDrawingContext.cpp; Demonstration; main.cpp.
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spelling	Emami, Shervin. Mastering OpenCV with Practical Computer Vision Projects. Birmingham : Packt Pub., 2012. 1 online resource (701 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rda Table of Contents; Mastering OpenCV with Practical Computer Vision Projects; Mastering OpenCV with Practical Computer Vision Projects; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. Cartoonifier and Skin Changer for Android; Accessing the webcam. Main camera processing loop for a desktop appGenerating a black-and-white sketch; Generating a color painting and a cartoon; Generating an ""evil"" mode using edge filters; Generating an ""alien"" mode using skin detection; Skin-detection algorithm; Showing the user where to put their face; Implementation of the skin-color changer; Porting from desktop to Android; Setting up an Android project that uses OpenCV; Color formats used for image processing on Android; Input color format from the camera; Output color format for display; Adding the cartoonifier code to the Android NDK app. Reviewing the Android appCartoonifying the image when the user taps the screen; Saving the image to a file and to the Android picture gallery; Showing an Android notification message about a saved image; Changing cartoon modes through the Android menu bar; Reducing the random pepper noise from the sketch image; Showing the FPS of the app; Using a different camera resolution; Customizing the app; Summary; 2. Marker-based Augmented Reality on iPhone or iPad; Creating an iOS project that uses OpenCV; Adding OpenCV framework; Including OpenCV headers; Application architecture. Accessing the cameraMarker detection; Marker identification; Grayscale conversion; Image binarization; Contours detection; Candidates search; Marker code recognition; Reading marker code; Marker location refinement; Placing a marker in 3D; Camera calibration; Marker pose estimation; Rendering the 3D virtual object; Creating the OpenGL rendering layer; Rendering an AR scene; Summary; References; 3. Marker-less Augmented Reality; Marker-based versus marker-less AR; Using feature descriptors to find an arbitrary image on video; Feature extraction; Definition of a pattern object. Matching of feature pointsPatternDetector.cpp; Outlier removal; Cross-match filter; Ratio test; PatternDetector.cpp; Homography estimation; PatternDetector.cpp; Homography refinement; PatternDetector.cpp; Putting it all together; Pattern pose estimation; PatternDetector.cpp; Obtaining the camera-intrinsic matrix; Pattern.cpp; Application infrastructure; ARPipeline.hpp; ARPipeline.cpp; Enabling support for 3D visualization in OpenCV; Creating OpenGL windows using OpenCV; Video capture using OpenCV; Rendering augmented reality; ARDrawingContext.hpp; ARDrawingContext.cpp; Demonstration; main.cpp. Summary. 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. Print version record. Includes bibliographical references and index. OpenCV. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Vision par ordinateur. COMPUTERS General. bisacsh Computer vision fast Levgen, Khvedchenia. Print version: Emami, Shervin. Mastering OpenCV with Practical Computer Vision Projects. Birmingham : Packt Publishing, ©2012 9781849517829
spellingShingle	Emami, Shervin Mastering OpenCV with Practical Computer Vision Projects. Table of Contents; Mastering OpenCV with Practical Computer Vision Projects; Mastering OpenCV with Practical Computer Vision Projects; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. Cartoonifier and Skin Changer for Android; Accessing the webcam. Main camera processing loop for a desktop appGenerating a black-and-white sketch; Generating a color painting and a cartoon; Generating an ""evil"" mode using edge filters; Generating an ""alien"" mode using skin detection; Skin-detection algorithm; Showing the user where to put their face; Implementation of the skin-color changer; Porting from desktop to Android; Setting up an Android project that uses OpenCV; Color formats used for image processing on Android; Input color format from the camera; Output color format for display; Adding the cartoonifier code to the Android NDK app. Reviewing the Android appCartoonifying the image when the user taps the screen; Saving the image to a file and to the Android picture gallery; Showing an Android notification message about a saved image; Changing cartoon modes through the Android menu bar; Reducing the random pepper noise from the sketch image; Showing the FPS of the app; Using a different camera resolution; Customizing the app; Summary; 2. Marker-based Augmented Reality on iPhone or iPad; Creating an iOS project that uses OpenCV; Adding OpenCV framework; Including OpenCV headers; Application architecture. Accessing the cameraMarker detection; Marker identification; Grayscale conversion; Image binarization; Contours detection; Candidates search; Marker code recognition; Reading marker code; Marker location refinement; Placing a marker in 3D; Camera calibration; Marker pose estimation; Rendering the 3D virtual object; Creating the OpenGL rendering layer; Rendering an AR scene; Summary; References; 3. Marker-less Augmented Reality; Marker-based versus marker-less AR; Using feature descriptors to find an arbitrary image on video; Feature extraction; Definition of a pattern object. Matching of feature pointsPatternDetector.cpp; Outlier removal; Cross-match filter; Ratio test; PatternDetector.cpp; Homography estimation; PatternDetector.cpp; Homography refinement; PatternDetector.cpp; Putting it all together; Pattern pose estimation; PatternDetector.cpp; Obtaining the camera-intrinsic matrix; Pattern.cpp; Application infrastructure; ARPipeline.hpp; ARPipeline.cpp; Enabling support for 3D visualization in OpenCV; Creating OpenGL windows using OpenCV; Video capture using OpenCV; Rendering augmented reality; ARDrawingContext.hpp; ARDrawingContext.cpp; Demonstration; main.cpp. OpenCV. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Vision par ordinateur. COMPUTERS General. bisacsh Computer vision fast
subject_GND	http://id.loc.gov/authorities/subjects/sh85029549
title	Mastering OpenCV with Practical Computer Vision Projects.
title_auth	Mastering OpenCV with Practical Computer Vision Projects.
title_exact_search	Mastering OpenCV with Practical Computer Vision Projects.
title_full	Mastering OpenCV with Practical Computer Vision Projects.
title_fullStr	Mastering OpenCV with Practical Computer Vision Projects.
title_full_unstemmed	Mastering OpenCV with Practical Computer Vision Projects.
title_short	Mastering OpenCV with Practical Computer Vision Projects.
title_sort	mastering opencv with practical computer vision projects
topic	OpenCV. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Vision par ordinateur. COMPUTERS General. bisacsh Computer vision fast
topic_facet	OpenCV. Computer vision. Vision par ordinateur. COMPUTERS General. Computer vision
work_keys_str_mv	AT emamishervin masteringopencvwithpracticalcomputervisionprojects AT levgenkhvedchenia masteringopencvwithpracticalcomputervisionprojects

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