《机器视觉》PPT课件

,Teacher:Prof.LiuYuncaiReferencebooks:1.MachineVision,byRamerhJian,etal(MajorReference)2.ComputerVision,byDamaH.Ballard,etal.3.Vision,ByDavidMarr.4.IntroductoryTechniquesfor3-DComputerVision,byEmanueleTrucco.5.ComputerVisionandImageProcessing,byScattE.Umbaugh.,计算机视觉课程COMPUTERVISION,6.AlgorithmforImageProcessingandComputerVision,byJ.R.Parker.7.机器视觉，贾云得编著8.计算机视觉的理论和实践，李介谷著9.计算机视觉计算机理论与算法基础，马颂德著RuleofgradingHomework:10%Examination:60%Project:30%ImportantDeadlines:Handinprojectproposal:May11,2005Handinprojectreport:July6,2005AllwritteninChinese(中文书写)FinalExamination:July6,2005,Course1Introduction,1.WhatisComputerVisionComputervisionaimstorecoverusefulinformationabouta(3D)scenefromits2Dprojections(images).3Ddepth/3Dstructure3Dmotionanalysis3Dsurfacesandorientationstatusof3Dobjects,soonmeaningoftheactionsof3Dobjects,Everytaskistoughsinceitistobeunderstoodfromflatimages!Computervisionisalsocalledas:MachinevisionRobotvisionImageunderstandingSceneanalysis(inearlyyears),课程内容：1)绪论(Introduction)2)图象滤波(ImageFiltering)3)二进制图象处理(BinaryImageProcessing)4)区域(Region)5)边缘检测(EdgeDetection)6)立体视觉(Stereo)7)运动的理解与估值(Motion)8)轮廓(Contours)9)纹理(Texture)10)图象光度学(Shading)11)光流场(OpticFlows)12)系统校准(Calibration)13)曲线与曲面(CurvesandSurfaces)14)动态视觉(DynamicVision)15)三维识别(ObjectRecognition),2.RelatedfieldsimageprocessingcomputervisionpatternrecognitionartificialIntelligenceneuralnetworkpsychophysics,3.PerspectiveProjectionpin-holecameramodel,projectioncenter(i.e.,camera)isattheoriginofscenecoordinatesystemwithopticaxisofcamerapointingtoz-axisdirectionofcoordinatesoriginofimagecoordinatesystemislocatedat(0,0,f)ofscenecoordinatesystem(fisfocuslengthofthecamera),theX-andY-axesofimagecoordinatesareparallelwithx-andy-axesofscenecoordinates,respectivelycameradoesnothaveanylensdistortions.,z,(1)Imagepoint,ImageLine3DlinelisprojectedontoimageplanethroughprojectingplanetogetimagelineL:,LetweuseavectortorepresenttheimagelineLofl.SinceWehave,orItistheequationofprojectingplane,thenormalis.Thus,wewillusethenormaloftheprojectingplaneof3Dlinetodenoteimageplaneby.,4.DigitalImage,Sampling:digitalizeinimageplane(directions)say,andsoon.quantization:digitalizeinimageinte