課程介紹
The students will learn image models, early vision, mid-level vision and high-level vision techniques. This course is suitable to students interested in computer vision, camera modeling, 3-D reconstruction, segmentation, and radiometry.
教科書:
1. Computer Vision: A Modern Approach, 2003
Written by D. A. Forsyth and J. Ponce, and published by Pearson Education, Inc
2. Multiple View Geometry in Computer Vision, 2004
Written by Hartley, R.~I. and Zisserman, A., Cambridge University Press, ISBN: 0521540518
3. Computer Vision: Algorithms and Applications, 2010
Written by R. Szeliski
Written by D. A. Forsyth and J. Ponce, and published by Pearson Education, Inc
2. Multiple View Geometry in Computer Vision, 2004
Written by Hartley, R.~I. and Zisserman, A., Cambridge University Press, ISBN: 0521540518
3. Computer Vision: Algorithms and Applications, 2010
Written by R. Szeliski
教學進度:
Lecture 1 Cameras
Lecture 2 Camera Models
Lecture 3 Camera Calibration
Lecture 4 Stereo Correspondence/3D reconstruction
Lecture 5 Epipolar Geometry
Lecture 6 Fundamental Matrix
Lecture 7 Features
Lecture 8 Descriptor
Lecture 9 Feature-based Alignment
Lecture 10 Convolutional Neural Network
Lecture 2 Camera Models
Lecture 3 Camera Calibration
Lecture 4 Stereo Correspondence/3D reconstruction
Lecture 5 Epipolar Geometry
Lecture 6 Fundamental Matrix
Lecture 7 Features
Lecture 8 Descriptor
Lecture 9 Feature-based Alignment
Lecture 10 Convolutional Neural Network
本課程不開放報名
