05214nam 2200673Ia 450 991078606840332120231002190101.01-62198-906-21-299-14864-61-84951-783-5(CKB)2670000000316881(EBL)1108328(OCoLC)823719296(SSID)ssj0000818504(PQKBManifestationID)11446983(PQKBTitleCode)TC0000818504(PQKBWorkID)10842824(PQKB)10909133(Au-PeEL)EBL1108328(CaPaEBR)ebr10636487(CaONFJC)MIL446114(CaSebORM)9781849517829(MiAaPQ)EBC1108328(PPN)187849080(EXLCZ)99267000000031688120130106d2012 uy 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierMastering OpenCV with practical computer vision projects[electronic resource] /Daniel Lelis Baggio ... [et al.]First editionBirmingham, UK :Packt Pub.,2012.1 online resource (340 pages)Description based upon print version of record.1-84951-782-7 Includes bibliographical references and index.Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1:Cartoonifier and Skin Changer for Android; Accessing the webcam; Main camera processing loop for a desktop app; Generating 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 AndroidSetting up an Android project that uses OpenCVColor 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 app; Cartoonifying 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 resolutionCustomizing the appSummary; Chapter 2:Marker-based Augmented Reality on iPhone or iPad; Creating an iOS project that uses OpenCV; Adding OpenCV framework; Including OpenCV headers; Application architecture; Marker 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; ReferencesChapter 3:Marker-less Augmented RealityMarker-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 points; PatternDetector.cpp; Outlier removal; Cross-match filter; Ratio test; Homography estimation; Homography refinement; 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 OpenCVCreating OpenGL windows using OpenCVVideo capture using OpenCV; Rendering augmented reality; ARDrawingContext.hpp; ARDrawingContext.cpp; Demonstration; main.cpp; Summary; References; Chapter 4:Exploring Structure from Motion Using OpenCV; Structure from Motion concepts; Estimating the camera motion from a pair of images; Point matching using rich feature descriptors; Point matching using optical flow; Finding camera matrices; Reconstructing the scene; Reconstruction from many views; Refinement of the reconstruction; Visualizing 3D point clouds with PCL; Using the example code; SummaryReferencesEach 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.C++ (Computer program language)Computer visionC++ (Computer program language)Computer vision.006.3006.37Lelis Baggio Daniel1506767MiAaPQMiAaPQMiAaPQBOOK9910786068403321Mastering OpenCV with practical computer vision projects3737133UNINA01142nam0-22003251i-450 99000795253040332120241210113149.088-222-5028-1000795253FED01000795253(Aleph)000795253FED0100079525320041118d2001----km-y0itay50------baitaspaIT--------101yySciacca, l'intelligenza metafisica oggiatti del sesto corso della «Cattedra Sciacca», Genova 15 settembre 2000, Buenos Aires 19 settembre 2000a cura di Pier Paolo OttonelloFirenzeOlschki2001194 p.24 cmPubblicazioni del Dipartimento di studi sulla storia del pensiero europeo «M. F. Sciacca»Università di GenovaSezione atti8Sciacca, Michelangelo FedericoPensiero metafisico195Ottonello,Pier PaoloITUNINARICAUNIMARCBK990007952530403321110 OTTP 001FLFBCFLFBCSciacca, l'intelligenza metafisica oggi747147UNINA