一、課程說明(Course Desc<x>ription)
<br>This course is to give an introductory background in computer vision for senior 
<br>undergraduate students and graduate students. It will cover the following main 
<br>topics: image formation, feature extraction, texture, multi-view geometry, camera 
<br>calibration, 3D geometry reconstruction, image motion analysis, image segmentation, 
<br>ob<x>ject detection, ob<x>ject recognition, deep learning and related applications.
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<br> 二、指定用書(Text Books)
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<br>Lecture slides distributed in class
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<br> 三、參考書籍(References)
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<br>R. Szeliski, Computer Vision: Algorithms and Applications, 2010. 
<br>(http://szeliski.org/Book/)
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<br>D. A. Forsyth and J. Ponce, Computer Vision: A Modern Approach, Prentice Hall, 
<br>2003.
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<br>M. Sonka, V. Hlavac, and R. Boyle, Image Processing, Analysis, and Machine 
<br>Vision, 3rd Edition, Thomson-Engineering, 2007.
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<br> 四、教學方式(Teaching Method)
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<br>Oral presentation and class discussion
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<br> 五、教學進度(Syllabus)
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<br>1. Image Formation (1 week)
<br>2. Image Features (2 weeks)
<br>3. Camera Calibration (1 week)
<br>4. Two-View Geometry (1 week)
<br>5. Image Segmentation (2 weeks) 
<br>6. Motion estimation (1 week)
<br>7. ob<x>ject Recognition (1 weeks)
<br>8. ob<x>ject detection (1 week)
<br>9. Deep learning (2 week)
<br>10. Final Project Presentation
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<br> 六、成績考核(Evaluation)
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<br>Midterm exam.       30%
<br>Final project.      20%
<br>Homeworks           40%
<br>Class Participation  5%
<br>Quizzes              5%
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<br> 七、可連結之網頁位址
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<br>http://cv.cs.nthu.edu.tw/courses.php
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