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 
<br>segmentation, ob<x>ject detection, ob<x>ject recognition, deep learning and related 
<br>applications.
<br>
<br>
<br> 二、指定用書(Text Books)
<br>
<br>Lecture slides distributed in class
<br>
<br> 三、參考書籍(References)
<br>
<br>R. Szeliski, Computer Vision: Algorithms and Applications, 2nd Ed., 2022. 
<br>(http://szeliski.org/Book/)
<br>
<br>
<br>
<br> 四、教學方式(Teaching Method)
<br>
<br>Oral presentation and class discussion
<br>
<br>
<br> 五、教學進度(Syllabus)
<br>
<br>1. Image Formation (1 week) 
<br>2. Image Features (1 week)
<br>3. Camera Calibration (1 week)
<br>4. Stereo Reconstruction (1 week)
<br>5. Multi-view Reconstruction (1 week)
<br>6. Image Alignment (1 week)
<br>7. Motion Estimation (1 week)
<br>8. Image Segmentation (1 week) 
<br>9. ob<x>ject Recognition (1 week)
<br>10. Deep Learning (2 weeks)
<br>11. ob<x>ject Detection (1 week) 
<br>12. ob<x>ject Tracking/Action Recognition (1 week) 
<br>13. Face Recognition (1 week) 
<br>
<br>
<br> 六、成績考核(Evaluation)
<br>
<br>Midterm exam.       25%
<br>Final project.      25%
<br>Homeworks           40%
<br>Class Participation  5%
<br>Class attendance     5%
<br>
<br>
<br> 七、可連結之網頁位址
<br>
<br>http://cv.cs.nthu.edu.tw/courses.php
<br>
<br>