CSc 471 Computer Vision- Fall 2017
Instructor: Professor Zhigang Zhu
Section: E Code: 56404 Credits: 3.0
Class Meet Time: M/W 2:00 - 3:15 PM , Room: SH-275
Office Hours: Monday 3:30 - 5:30 pm, Room: NAC 8/211
City College of New York
August 28 (Monday), 2017. First class
meet of this course.
September 21, 2017. Grading for Assignment 1.
Computer vision has a rich history of fundamental work on stereo and visual motion, which has dealt with the problems of 3D reconstruction from multiple images, and structure from motion from video sequences. Recently, in addition to these traditional problems, the stereo and motion information presented in multiple images or a video sequence is also being used to solve several other interesting problems, for example, large-scale scene modeling, video mosaicing, video segmentation, video compression, video manipulation and video surveillance. This is sometimes summarized as video computing. Computer vision is playing an important and somewhat different role in solving these problems in video computing than the original image analysis approach in the early days of vision research.The course "Computer Vision" will include advanced topics in video computing as well as fundamentals in stereo and motion.
(Fall 2017 academic calendar)
Part I. Computer Vision Basics
I-1. Introduction: What, Why and How (pptx
I-2. Image Formation: Digital Image Basics (pptx slides) (Assignment 1)-08/30, 09/06
I-3. Image Enhancement: point operations, histograms and neighborhood operations (slides) (Assignment 2) ( Lecture notes in PDF:I-3 and I-4) -09/11, 09/13, 09/18
I-4. Edge Detection: basics, advanced, and Hough Transform (slides) - 09/25, 09/27, 10/02
Part II. 3D Computer Vision
II-1. Camera Models (slides)
notes in PDF) (Assignment 3)
(Geometric Projection of a Camera) - 01/04
(Camera Parameters) - 10/11
(Camera Models Revisited) - 10/16
II-2. Camera Calibration (slides)
notes in PDF )
(Problem Definition: the Tools You Must Know), 10/18
(Direct Approach: Divide and Conquer), 10/23
(Projective Matrix Approach:
All in One ), 10/25
II-3. Stereo Vision (slides)
notes in PDF) (Assignment 4)
(Epipolar Geometry), 11/01
(Correspondence Problem &
Reconstruction Problem) ,
II-4. Visual Motion - (slides)
(The Motion Field of Rigid Motion), 11/08
(Optical Flow Approach &
Exam Review, 11/15
Part III. Exam, Projects and Project Presentations
III-1. Exam -11/20 (before Thanksgiving
III-2. Project Discussions and Exam
III-3. Student Group Project Presentations (1)
(2) (3), (4) - 11/29, 12/04, 12/06, 12/11
In the form of Lecture Notes and Slides, provided by the instructor (above).
Online References and additional readings when necessary.
The course will accommodate senior undergraduate students with background in computer science and computer engineering. Students who take the course for credits will be required to finish 4 assignments (40%), one midterm exam (40%), and one programming project (20%, including submit a report and give a small presentation to the class at the end of the semester). The topics of the projects will be given in the middle of the semester and will be related to the material presented in the lectures.
Students are required to have a good preparation in both mathematics (linear algebra/numerical analysis) and advanced programming.
Copyright @ Zhigang Zhu , Fall 2017