LEADER 00996nam0-22002891i-450- 001 990000621220403321 005 20001010 035 $a000062122 035 $aFED01000062122 035 $a(Aleph)000062122FED01 035 $a000062122 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aTEORIA DELLA BIFORCAZIONE DEGLI EQUILIBRI ELASTO-PLASTICI,1966 - NOTA IV$eLO SVERGOLAMENTO IN CAMPO PLASTICO DEIPROFILATI SOTTILI$fCOMO M. 210 $aNapoli$cI.T.C.$d1966 300 $aAtti dell'Istituto di Tecnica delle Costruzioni dell'Universitą di Napoli. 610 0 $aAtti ed estratti di Universitą ed Istituti Universitari Italiani. 700 1$aComo,$bMario$0492 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000621220403321 952 $a07 U/1401$b$fDINSC 959 $aDINSC 996 $aTEORIA DELLA BIFORCAZIONE DEGLI EQUILIBRI ELASTO-PLASTICI,1966 - NOTA IV$9316190 997 $aUNINA DB $aING01 LEADER 04137nam 2200517 450 001 9910148750303321 005 20161107053121.0 010 $a1-78712-384-7 035 $a(CKB)3710000000922092 035 $a(MiAaPQ)EBC4728350 035 $a(PPN)220203156 035 $a(CaSebORM)9781787125490 035 $a(EXLCZ)993710000000922092 100 $a20170301h20162016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aOpenCV $ecomputer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules /$fJoseph Howse, Prateek Joshi, Michael Beyeler 205 $a1st edition 210 1$aBirmingham, England :$cPackt Publishing,$d2016. 210 4$d©2016 215 $a1 online resource (558 pages) $ccolor illustrations, photographs 225 1 $aLearning path 300 $aAuthors: Joseph Howse, Prateek Joshi, Michael Beyeler. Cf. Credits page. 311 $a1-78712-549-1 320 $aIncludes bibliographical references. 330 $aGet savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV. What You Will Learn Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu Apply "curves" and other color transformations to simulate the look of old photos, movies, or video games Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt ... 606 $aComputer vision 606 $aImage processing 606 $aPython (Computer program language) 615 0$aComputer vision. 615 0$aImage processing. 615 0$aPython (Computer program language) 676 $a006.37 700 $aHowse$b Joseph$01149086 702 $aJoshi$b Prateek 702 $aBeyeler$b Michael 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910148750303321 996 $aOpenCV$92867859 997 $aUNINA