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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Pub.,
2012.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Emami, Shervin. | |
| 245 | 1 | 0 | |a Mastering OpenCV with Practical Computer Vision Projects. |
| 260 | |a Birmingham : |b Packt Pub., |c 2012. | ||
| 300 | |a 1 online resource (701 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |2 rda | ||
| 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. | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 630 | 0 | 0 | |a OpenCV. |
| 650 | 0 | |a Computer vision. | |
| 650 | 6 | |a Vision par ordinateur. | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Computer vision |2 fast | |
| 700 | 1 | |a Levgen, Khvedchenia. | |
| 758 | |i has work: |a Mastering OpenCV with practical computer vision projects (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3yjRMggVXc4RGJwMBc8rV |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Emami, Shervin. |t Mastering OpenCV with Practical Computer Vision Projects. |d Birmingham : Packt Publishing, ©2012 |z 9781849517829 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1108328 |z Texto completo |
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