《《机器视觉》PPT课件.ppt》由会员分享,可在线阅读,更多相关《《机器视觉》PPT课件.ppt(14页珍藏版)》请在三一办公上搜索。
1、,Teacher:Prof.Liu YuncaiReference books:1.Machine Vision,by Ramerh Jian,et al(Major Reference)2.Computer Vision,by Dama H.Ballard,et al.3.Vision,By David Marr.4.Introductory Techniques for 3-D Computer Vision,by Emanuele Trucco.5.Computer Vision and Image Processing,by Scatt E.Umbaugh.,计算机视觉课程COMPUT
2、ER VISION,6.Algorithm for Image Processing and Computer Vision,by J.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 Rule of gradingHomework:10%Examination:60%Project:30%Important Deadlines:Hand in project proposal:May 11,2005Hand in project report:July 6,2005All written in Chinese(中文书
3、写)Final Examination:July 6,2005,Course 1Introduction,1.What is Computer VisionComputer vision aims to recover useful information about a(3D)scene from its 2D projections(images).3D depth/3D structure 3D motion analysis 3D surfaces and orientation status of 3D objects,so on meaning of the actions of
4、3D objects,Every task is tough since it is to be understood from flat images!Computer vision is also called as:Machine visionRobot visionImage understandingScene analysis(in early years),课程内容:1)绪论(Introduction)2)图象滤波(Image Filtering)3)二进制图象处理(Binary Image Processing)4)区域(Region)5)边缘检测(Edge Detection
5、)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(Optic Flows)12)系统校准(Calibration)13)曲线与曲面(Curves and Surfaces)14)动态视觉(Dynamic Vision)15)三维识别(Object Recognition),2.Related fields image processing computer vision pattern recognition artificial Intelligence neural net
6、work psychophysics,3.Perspective Projection pin-hole camera model,projection center(i.e.,camera)is at the origin of scene coordinate system with optic axis of camera pointing to z-axis direction of coordinates origin of image coordinate system is located at(0,0,f)of scene coordinate system(f is focu
7、s length of the camera),the X-and Y-axes of image coordinates are parallel with x-and y-axes of scene coordinates,respectivelycamera does not have any lens distortions.,z,(1)Image point,Image Line 3D line l is projected onto image plane through projecting plane to get image line L:,Let we use a vect
8、or to represent the image line L of l.Since We have,orIt is the equation of projecting plane,the normal is.Thus,we will use the normal of the projecting plane of 3D line to denote image plane by.,4.Digital Image,Sampling:digitalize in image plane(directions)say,and so on.quantization:digitalize in image intensity,say 8 bits(256 levels).for an images having only 2 gray levels,we call it as binary image.,Image of 64 gray level,Binary image,