LEADER 05205nam 2200685Ia 450 001 9910463232303321 005 20200520144314.0 010 $a1-62198-906-2 010 $a1-299-14864-6 010 $a1-84951-783-5 035 $a(CKB)2670000000316881 035 $a(EBL)1108328 035 $a(OCoLC)823719296 035 $a(SSID)ssj0000818504 035 $a(PQKBManifestationID)11446983 035 $a(PQKBTitleCode)TC0000818504 035 $a(PQKBWorkID)10842824 035 $a(PQKB)10909133 035 $a(MiAaPQ)EBC1108328 035 $a(CaSebORM)9781849517829 035 $a(PPN)187849080 035 $a(Au-PeEL)EBL1108328 035 $a(CaPaEBR)ebr10636487 035 $a(CaONFJC)MIL446114 035 $a(EXLCZ)992670000000316881 100 $a20130106d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMastering OpenCV with practical computer vision projects$b[electronic resource] /$fDaniel Lelis Baggio ... [et al.] 205 $a1st edition 210 $aBirmingham, UK $cPackt Pub.$d2012 215 $a1 online resource (340 p.) 300 $aDescription based upon print version of record. 311 $a1-84951-782-7 320 $aIncludes bibliographical references and index. 327 $aCover; 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 Android 327 $aSetting 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 resolution 327 $aCustomizing 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; References 327 $aChapter 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 OpenCV 327 $aCreating 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; Summary 327 $aReferences 330 $aEach 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. 606 $aC++ (Computer program language) 606 $aComputer vision 608 $aElectronic books. 615 0$aC++ (Computer program language) 615 0$aComputer vision. 676 $a006.3 676 $a006.37 700 $aLelis Baggio$b Daniel$0865267 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910463232303321 996 $aMastering OpenCV with practical computer vision projects$91931192 997 $aUNINA