opencv - unict

OpenCV

Giovanni Maria FarinellaGiovanni Maria Farinella

What is Vision?What is Vision?

“What does it mean to see? The plain man's answer (andWhat does it mean, to see? The plain man s answer (andAristotle's, too) would be, to knowwhat is where by looking.”

David Marr, Vision (1982)

Giovanni Maria Farinella

, ( )

Computer Visionp


Computer vision is the science (some say art) of programming acomputer to process, and ultimately understand, images andvideo.

The Computer Vision IndustrySee: http://people cs ubc ca/~lowe/vision htmlSee: http://people.cs.ubc.ca/ lowe/vision.html


Computer VisionP

Pedestrian

Process

Alert DriverAlert Driver


OpenCVOpenCV

• Insieme di librerie Open Source cheimplementano algoritmi noti di Imagep g gProcessing, Computer Vision e MachineLearningLearning.


OpenCv BookOpenCv Book

• Gary Bradski Adrian Kaehler Learning OpenCV: ComputerGary Bradski, Adrian Kaehler, Learning OpenCV: Computer Vision with the OpenCV Library, O'Reilly, 2008

• Preview del Libro su Google Books:h //b k l i /b k ?id A iOf 2EIC


– http://books.google.it/books?id=seAgiOfu2EIC

Risorse onlineRisorse onlineM i O CV it• Main OpenCV site:– http://sourceforge.net/projects/opencvlibrary/

• OpenCv Wiki page:– http://opencv.willowgarage.com/wiki/

• OpenCV Library:– http://sourceforge.net/projects/opencvlibrary/files/opencv‐p // g /p j / p y/ / p

win/1.1pre1/OpenCV_1.1pre1a.exe/download

• Visual Studio (Microsoft MSDN Academic Alliance):• Visual Studio (Microsoft MSDN Academic Alliance):– http://web.dmi.unict.it/Pagina/It/Centro_di_calcolo/Servizi/Microsoft

_MSDN_AA.aspx


IstallazioneIstallazione

• Dopo aver istallato Visual Studio e OpenCV, basta seguire i passi al seguente link:g p ghttp://opencv.willowgarage.com/wiki/VisualC%2B%2B


DocumentazioneDocumentazione

• “…\OpenCV\docs”


CVImage Processing

MLStatistical Classifiers HighGUIImage Processing

and Vision Algorithms

Statistical Classifiersand

Clustering Tools

GUI, Image and Video I/O

CXCORECXCOREbasic structures and algorithms,XML support, drawing functions

CVAUX


CXCORECXCORE• Basic Structures• Operations on Arrays

Initialization, Accessing Elements and sub‐Arrays, Copying and Filling, Transforms and Permutations,Arithmetic, Logic and Filling, Transforms and Permutations,Arithmetic, ogic andComparison, Statistics, Linear Algebra, Math Functions, RandomNumber Generation, Discrete Transforms

• Dynamic StructuresDynamic StructuresMemory Storages, Sequences, Sets, Graphs, Trees

• Drawing FunctionsCurves and Shapes, Text, Point Sets and Contours

• Data Persistence and RTTIFile Storage Writing Data Reading Data RTTI and GenericFile Storage, Writing Data, Reading Data, RTTI and GenericFunctions

• Miscellaneous Functions


Error Handling and System Functions: Error Handling, System Functions

CVCV• Image Processing

Gradients, Edges, Corners and Features, Sampling, Interpolationand Geometrical Transforms, Morphological Operations, Filtersand Color Conversion, Pyramids and the Applications, ImageSegmentation, Connected Components and Contour Retrieval, Image and Contour Moments, Special Image Transforms, Histograms, Matching

• Structural AnalysisContour Processing , Computational Geometry, Planar Subdivisions

• Motion Analysis and Object Tracking• Motion Analysis and Object TrackingAccumulation of Background Statistics, Motion Templates, Object Tracking, Optical Flow, Feature Matching, Estimators

• Pattern RecognitionObject Detection

• Camera Calibration and 3D Reconstruction


• Camera Calibration and 3D ReconstructionSingle and Stereo Camera Calibration, Pose Estimation, EpipolarGeometry, Stereo Correspondence

MLML

l ifi• Bayes Classifier • K Nearest Neighbors g• Support Vector Machine • Decision Trees• Decision Trees • Boosting • Random Trees • Expectation‐MaximizationExpectation Maximization • Neural Networks


HIGHGUIHIGHGUI

• Simple GUI • Loading and Saving ImagesLoading and Saving Images • Video I/O • Utility and System Functions


CVAUXCVAUX

• Stereo Correspondence Functions• View Morphing FunctionsView Morphing Functions• 3D Tracking Functions• Eigen Objects (PCA) Functions• Embedded Hidden Markov Models FunctionsEmbedded Hidden Markov Models Functions


EsempiEsempi

“ \ \ l \ ”• “…\OpenCV\samples\c”• Alcuni Esempi:p

DFTEDGE DETECTIONEDGE DETECTIONMORPHOLOGYKMEANSKMEANSINPAINTINGFACE DETECTIONFACE DETECTIONTRACKING


Imparare dagli esempiImparare dagli esempi

• I codici degli esempi presenti nel libro di testo si trovano al seguente link:g– http://examples.oreilly.com/9780596516130/


InterfacceInterfacce

• Visual Studio permette di creare delle interfacce in maniera semplice.p

T l i i l li k• Trovate alcuni esempi al seguente link:– http://www.site.uottawa.ca/~laganier/tutorial/opencv+directshow/cvision.htm


Homework Esempio 1Homework ‐ Esempio 1

ili il l di O C f di• Utilizzare il manuale di OpenCV per approfondire la conoscenza delle seguenti strutture/funzioni:

– IplImage– cvLoadImage– cvNamedWindow– cvShowImage– cvWaitKey– cvReleaseImage– cvDestroyWindow


Homework Esempio 2Homework ‐ Esempio 2• Utilizzare il manuale di OpenCV per approfondire la conoscenza delle• Utilizzare il manuale di OpenCV per approfondire la conoscenza delle

seguenti strutture/funzioni:– CvSize– cvCvtColor S b/ Add/ M l/ Di– cvCvtColor– cvCreateImage– cvThreshold– CvRect

cvSub/cvAdd/cvMul/cvDivcvMax/cvMaxS/cvMinScvMatcvDet/cvTranspose/cvSolve/cvSVD/cvEigenCvRect

– cvSetImageROI– cvSetImageROI– cvCopyImage

cvDet/cvTranspose/cvSolve/cvSVD/cvEigencvDFTcvShiftDFTcvPowpy g

– cvCvtPixToPlane– CvScalar– cvGet2D

cvPowcvLogcvLine/cvRectangle/cvCircle/cvEllipsecvPutText

– cvSet– cvOr/cvAnd/cvXor/cvNot

cvPutText



• Utilizzare il manuale di OpenCV perapprofondire la conoscenza delle seguentipp gstrutture/funzioni:– CvCapture– CvCapture– cvCreateFileCapture– cvQueryFrame– cvReleaseCapture



• Utilizzare il manuale di OpenCV perapprofondire la conoscenza delle seguentipp gstrutture/funzioni:– cvGetCaptureProperty– cvGetCaptureProperty– cvCreateTrackbar– cvSetTrackbarPos– cvSetCaptureProperty



• Utilizzare il manuale di OpenCV perapprofondire la conoscenza delle seguentipp gstrutture/funzioni:– cvGetSize– cvGetSize– cvSmooth– cvFilter2D



• Utilizzare il manuale di OpenCV perapprofondire la conoscenza delle seguentipp gstrutture/funzioni:– cvPyrDown– cvPyrDown– cvPyrUp



• Utilizzare il manuale di OpenCV perapprofondire la conoscenza delle seguentipp gstrutture/funzioni:– cvCanny– cvCanny



• Utilizzare il manuale di OpenCV perapprofondire la conoscenza delle seguentipp gstrutture/funzioni:– CvCapture– CvCapture– cvCreateCameraCapture– cvQueryFrame– cvReleaseCapture


Homework Esempio Dialog BoxHomework ‐ Esempio Dialog Box

• Utilizzare il manuale di OpenCV/MSDN perapprofondire la conoscenza delle seguentipp gstrutture/funzioni:– CFileDialog– CFileDialog– cvErode– cvLoadImage– cvSaveImage


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