计算机视觉教程ppt课件

1、 计算机视觉课程计算机视觉课程COMPUTER VISION Reference 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.U

2、mbaugh.6. Algorithm for Image Processing and Computer Vision, by J.R.Parker.7. 机器视觉，贾云得机器视觉，贾云得 编著编著8.计算机视觉的实际和实际，计算机视觉的实际和实际， 李介谷著李介谷著9 . 计算机视觉计算机视觉计算机实际与算法根底，计算机实际与算法根底， 马颂德马颂德Rule of grading: Homework: 10% Examination:60% Project:30% Important Deadlines: Hand in project proposal: May 11, 2021 Han

3、d in project report: July 6, 2021 All written in Chinese (中文书写中文书写) Final Examination: July 6, 2021Course 1 IntroductionCourse 1Introduction1.What is Computer Vision Computer vision aims to recover useful information about a (3D) scene from its 2D projections (images). 3D depth / 3D structure 3D mot

4、ion analysis 3D surfaces and orientation status of 3D objects, so on meaning of actions of 3D objects (cognition)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：课程内

5、容：1)1) 绪论绪论 (Introduction) (Introduction)2)2) 图象滤波图象滤波 (Image Filtering) (Image Filtering)3)3) 二进制图象处置二进制图象处置 (Binary Image (Binary Image Processing)Processing)4)4) 区域区域 (Region) (Region)5)5) 边缘检测边缘检测 (Edge Detection) (Edge Detection)6)6) 立体视觉立体视觉 (Stereo) (Stereo)7)7) 运动的了解与估值运动的了解与估值 (Motion) (Mot

6、ion)8)8) 轮廓轮廓 (Contours) (Contours)9)9) 纹理纹理 (Texture) (Texture) 10)10) 图象光度学图象光度学 (Shading) (Shading)11)11) 光流场光流场 (Optic Flows) (Optic Flows)12)12) 系统校准系统校准 (Calibration) (Calibration)13)13) 曲线与曲面曲线与曲面 (Curves and Surfaces) (Curves and Surfaces)14)14) 动态视觉动态视觉 (Dynamic Vision) (Dynamic Vision)15)

7、15) 三维识别三维识别 (Object Recognition) (Object Recognition)2. Related fields image processing computer vision pattern recognition artificial Intelligence neural network psychophysics 3. Perspective Projection pin-hole camera modeln projection center (i.e., camera) is at the origin of scene coordinate sys

8、tem with optic axis of camera pointing to z-axis direction of coordinates n origin of image coordinate system is located at (0, 0, f) of scene coordinate system (f is focus length of the camera), the X- and Y-axes of image coordinates are parallel with x- and y- axes of scene coordinates, respective

9、lyn camera does not have any lens distortions.xoyoXYP (X, Y)P (x, y, z)LlnP0focus length = frRz(1) Image point zyYzxXfIfzyfYzxfXThuszfyYxXrRyYxXzfrR,1,Image Line 3D line l is projected onto image plane through projecting plane to get image line L: 0CBYAXLet we use a vector to represent the image lin

10、e 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),(CBAn zyYzxX,0CzyBzxA0CzByAx),(CBAlpnCBAn),(4. Digital ImagenSampling: digitalize in image plane ( directions)n say, , ,and so on.nquantization: digitalize in image intensity, sa