1、Teacher: Prof. Liu Yuncai 计算机视觉课程COMPUTER VISION Reference books:1. Machine Vision, by Ramerh Jian, et al (MajorReference)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 Process
2、ing, by Scatt E.Umbaugh.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Rule of grading: Homework: 10%Examination: 60%Project: 30%Important Deadlines:Hand in project proposal: May 11, 2010Hand in project report: July 6, 2
3、010All written in Chinese (中文书写) Final Examination: July 6, 2010Course 1 IntroductionCourse 1 Introduction1.What is Computer VisionComputer vision aims to recover useful information about a (3D) scene from its 2D projections (images).n 3D depth / 3D structuren 3D motion analysisn 3D surfaces and ori
4、entationn status of 3D objects, so onn 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：1) 绪论 (Introduction)2) 图象滤波 (Imag
5、e Filtering)3) 二进制图象处理 (Binary Image Processing)4) 区域 (Region)5) 边缘检测 (Edge Detection)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)
