Holdings: Practical OpenCV :: THWS Bibkatalog

Practical OpenCV: [hands on projects for computer vision on the Windows, Linux and Raspberry PI platforms]

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Bibliographic Details
Main Author:	Brahmbhatt, Samarth (Author)
Format:	Book
Language:	English
Published:	Berkeley, CA Apress 2013
Series:	Technology in action
Subjects:	Bildverarbeitung OpenCV
Online Access:	Inhaltsverzeichnis Klappentext
Physical Description:	XVII, 223 S. Ill., graph. Darst.
ISBN:	9781430260790

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adam_text	Contents at a Glance Abolit tne AUinor ......................■■........... umím« ........... ι ............... i. ■■.......... ι ...... ■■■■•■■■ι .........xiii AbOUl 1ПЄ іеСППІСЯІ ncVlcWGi .·■■■■■■■■■■■■■■■■■■■■■■■...................■■■■■■■■■■■■■■■>■■■■■■■..........■■■■■■■■.....■■ av iiiiiiiiiiHHiiiiiiiiiiiiiiiHiiiiiiiiiiiiimiiiiiiiiiiimiiiiinimiiimmiiii .......■.....■■........XVII ■Dort 1а fîpttinfi Hnmfnrt^hlp 1 ■Chapter 1: Introduction to Computer Vision and OpenCV.... ..............................................3 ■Chapter 2: Setting up OpenCV on Your Computer..... .........................................................7 ■Chapter 3: CV Bling — OpenCV Inbuilt Demos ...................................................................13 ■Chapter 4: Basic Operations on Images and GUI Windows ..............................................23 ■Part 2: Advanced Computer Vision Problems and Coding Them m* OnpnCV 39 vUvllv V lllllliaillllllllllllllllllllimillllllllllllllMIIIIIIIIIIIIIIIIIIIHllMlllllllllllllll lllllllfli W W ЯиПсіріЄГ Зі IITiayG ГІНеГІПу .........■■■■■■■.....................■.........................■·■■■■.............. «mii ...... ЦІ HUÍIdpicr Оа Ofidptrï) 111 І llldfjco ■ ■ ■ ■............... ■■■■■■κι· .......... ■■■■■■•■■■■■.■■■■■■■■■■■■■■■■■■■..■■■■■■■•■■■■■■■■■■ul ■Chapter 7: Image Segmentation and Histograms ............................................................95 ■Chapter 8: Basic Machine Learning and Object Detection Based on Keypoints............119 IChapter 9: Affine and Perspective Transformations and Their Applications to Image Panoramas ......................................................................................................155 IChapter 10:3D Geometry and Stereo Vision.... ..............................................................173 IChapter 11: Embedded Computer Vision: Running OpenCV Programs Ull III flddjJlJtir Ij Піц ...... шщ .............................. ι ............ iiiiiuiiiif .................... мііпмішіи ........ £A3 I ΙΙΙΙΙνλ lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllIllllllllllMIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIilllllllfalV Contents AbOUl іПе MU ΪΪΙΟΓ »■■■■■.......... a .......■.....■·■......■■■■■■■■■ ■■■■■■■■■■■■■■■■■■■■··■■·■■■■■■■■■!■■■■■■■■■■..... lin ..... nu ЛІН ADOUï tne ІЄСППІСмІ ticViewer ■■■■■•■■■■■•і ......■■■■>................................ ι ............·........·......■■■■··■ XV Acknowledgments ...................».......................................................................................xvii ■Part 1: Getting Comfortable. ......................................................................... 1 ■Chapter 1: Introduction to Computer Vision and OpenCV ..................................................3 Why Was This Book Written? .........................................................................................................3 OpenCV.,. .......................................................................................................................................4 History of OpenCV ..................................................................................................................................................4 Built-in Modules ....................................................................................................................................................4 Summary .......................................................................................................................................5 ■Chapter 2: Setting up OpenCV on Your Computer .......,......................................................7 Operating Systems ........................................................................................................................7 Ubuntu ...................................................................................................................................................................7 Windows ..............................................................................................................................................................12 MacOSX ..............................................................................................................................................................12 Summary..... ................................................................................................................................12 iChapter 3: CV Bling — OpenCV Inbuilt Demos ...................................................................13 Camshift ......................................................................................................................................13 Stereo Matching.. ........................................................................................................................16 Homography Estimation in Video .................................................................................................16 Circle and Line Detection ............................................................................................................18 Image Segmentation ...................................................................................................................19 vii ■ CONTENTS Bounding Box and Circle .............................................................................................................21 Image Inpainting ............................................■..................■............................■.....■...............··..... 21 Summary ............................................................................■............·..........................·.........■■..... 22 ■Chapter 4: Basic Operations on Images and GUI Windows ..............................................23 Displaying Images from Disk in a Window ..................................................................................23 The cv::Mat Structure ..................................................................................................................24 Creating a cv-Mat ...............................................................................................................................................25 Accessing elements of a cv::Mat .........................................................................................................................25 Expressions with cv::Mat .....................................................................................................................................25 Converting Between Color-spaces ..............................................................................................26 GUI Track-Bars and Callback Functions .......................................................................................27 Callback Functions .............................................................................................................................................27 ROIs: Cropping a Rectangular Portion out of an Image ...............................................................30 Region of Interest in an Image ......................,......................................................................................................30 Accessing Individual Pixels of an Image .....................................................................................33 Exercise ....................................................................................................,..........................................................33 Videos ..........................................................................................................................................34 Displaying the Feed from Your Webcam or USB Camera/File ..............................................................................34 Writing Videos to Disk ..........................................................................................................................................36 Summary .....................................................................................................................................37 ■Part 2: Advanced Computer Vision Problems and Coding ι π и in in ирвПи ■■■■■·■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■·■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ o*f ■Chapter 5: Image Filtering ...............................................................................................41 Image Filters ...............................................................................................................................41 Blurring Images ...................................................................................................................................................45 Resizing Images—Up and Down .........................................................................................................................48 Eroding and Dilating Images ..............................................................................................................................-.49 Detecting Edges and Corners Efficiently in Images .............................................................................................51 Vili CONTENTS Edges ..............................................................................................................................->....................................51 Canny Edges ........................................................................................................................................................56 Corners .......................,........................................................................................................................................57 Object Detector App ....................................................................................................................60 Morphological Opening and Closing of Imagesto Remove Noise ...............................................63 Summary ......................................................................................,..............................................65 ■Chapter 6: Shapes in Images..... ......................................................................................67 Contours ......................................................................................................................................67 Point Polygon Test ...............................................................................................................................................70 Hough Transform ....................,....................................................................................................74 Detecting Lines with Hough Transform ................................................................................................................74 Detecting Circles with Hough Transform .............................................................................................................77 Generalized Hough Transform .....................................................................................................80 RANdom Sample Consensus (RANSAC) .......................................................................................80 Bounding Boxes and Circles ......................................................................................................-.91 Convex Hulls ................................................................................................................................92 Summary .....................................................................................................................................93 ■Chapter 7: Image Segmentation and Histograms..... .......................................................95 Image Segmentation ...................................................................................................................95 Simple Segmentation by Thresholding ................................................................................................................96 Floodfill ................,.............................................................................................................................................100 Watershed Segmentation ..................................................................................................................................103 GrabCut Segmentation ..............................................................................,........................................................110 Histograms ................................................................................................................................111 Equalizing Histograms .......................................................................................................................................111 Histogram Backprojections ...............................................................................................................................113 Meanshift and Camshift .....................................................................................................................................116 Summary ...................................................................................................................................117 IX : CONTENTS ■Chapter 8: Basic Machine Learning and Object Detection Based on Keypoints............119 Keypoints and Keypoint Descriptors: Introduction and Terminology .........................................119 General Terms ....................................................................................................................................................120 How Does the Keypoint-Based Method Work? .................................,................................................................120 SIR Keypoints and Descriptors ................................................................................................121 Keypoint Detection and Orientation Estimation .................................................................................................121 SIFT Keypoint Descriptors .................................................................................................................................125 Matching SIFT Descriptors ................................................................................................................................125 SURF Keypoints and Descriptors ...............................................................................................131 SURF Keypoint Detection ...................................................................................................................................131 SURF Descriptor ................................................................................................................................................134 ORB (Oriented FAST and Rotated BRIEF) ...................................................................................136 Oriented FAST Keypoints...................................................................................................................................137 BRIEF Descriptors ..............................................................................................................................................137 Basic Machine Learning ............................................................,...............................................140 SVMs ..................................................................................................................................................................141 Object Categorization ................................................................................................................142 Strategy .............................................................................................................................................................142 Organization ......................................................................................................................................................143 Summary .....................................................................................,.............................................153 ■Chapter 9: Affine and Perspective Transformations and Their Applications to Image Panoramas ......................................................................................................155 Affine Transforms ......................................................................................................................155 Applying Affine Transforms ................................................................................................................................156 Estimating Affine Transforms .............................................................................................................................158 Perspective Transforms .............................................................................................................161 Panoramas ..............................................................................,.................................................166 Summary ...................................................................................................................................172 X CONTENTS ■Chapter 10:3D Geometry and Stereo Vision ..................................................................173 Single Camera Calibration .........................................................................................................173 OpenCV Implementation of Single Camera Calibration ......................................................................................176 Stereo Vision .............................................................................................................................179 Triangulation......................................................................................................................................................179 Calibration .........................................................................................................................................................180 Rectification and Disparity by Matching ............................................................................................................186 Summary ...................................................................................................................................200 ■Chapter 11: Embedded Computer Vision: Running OpenCV Programs on the Raspberry Pi............... ..................................................................................................201 Raspberry Pi ..............................................................................................................................202 Setting Up Your New Raspberry Pi ............................................................................................202 Installing Raspbian on the Pi .....................................................................,.......................................................203 Initial Settings.... ................................................................................................................................................204 Installing OpenCV ...............................................................................................................................................205 Camera board ............................................................................................................................206 Camera Board vs. USB Camera .........................................................................................................................207 Frame-Rate Comparisons ..................................................................................................................................214 Usage Examples ........................................................................................................................215 Color-based Object Detector ..............................................................................................................................216 ORB Keypoint-based Object Detector ................................................................................................................217 Summary ...................................................................................................................................218 Index .................................................................................................................................219 Xl ι/ J leticai OpenCV is a hands-on project book that shows you łiow to get the best results f rom OpenCV, the open-source computer vision library. · . . ,.· . ■ -■, Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality. It s used by major companies like Google (in its autonomous car), Intel, and Sony; and it is the backbone of the Robot Operating System s computer vision capability. In short, if you re working with computer vision at all, you need to know OpenCV With Practical OpenCV, you ll be able to: • Get OpenCV up and running on Windows or Linux. • Use OpenCV to control the camera board and run vision algorithms on Raspberry Pi. • Understand what goes on behind the scenes in computer vision applications like object detection, image stitching, filtering, stereo vision, and more, • Code complex computer vision projects for your class/hobby/ robot/job, many of which can execute in real time on off-the-shelf processors. • Combine different modules that you develop to create your own interactive computer vision app.
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spellingShingle	Brahmbhatt, Samarth Practical OpenCV [hands on projects for computer vision on the Windows, Linux and Raspberry PI platforms] Bildverarbeitung (DE-588)4006684-8 gnd OpenCV (DE-588)1038770092 gnd
subject_GND	(DE-588)4006684-8 (DE-588)1038770092
title	Practical OpenCV [hands on projects for computer vision on the Windows, Linux and Raspberry PI platforms]
title_auth	Practical OpenCV [hands on projects for computer vision on the Windows, Linux and Raspberry PI platforms]
title_exact_search	Practical OpenCV [hands on projects for computer vision on the Windows, Linux and Raspberry PI platforms]
title_full	Practical OpenCV [hands on projects for computer vision on the Windows, Linux and Raspberry PI platforms] Samarth Brahmbhatt
title_fullStr	Practical OpenCV [hands on projects for computer vision on the Windows, Linux and Raspberry PI platforms] Samarth Brahmbhatt
title_full_unstemmed	Practical OpenCV [hands on projects for computer vision on the Windows, Linux and Raspberry PI platforms] Samarth Brahmbhatt
title_short	Practical OpenCV
title_sort	practical opencv hands on projects for computer vision on the windows linux and raspberry pi platforms
title_sub	[hands on projects for computer vision on the Windows, Linux and Raspberry PI platforms]
topic	Bildverarbeitung (DE-588)4006684-8 gnd OpenCV (DE-588)1038770092 gnd
topic_facet	Bildverarbeitung OpenCV
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