CUHK

Dept. of Computer Science and Engineering, MSC Programme in Computer Science

CMSC5711 Image Processing and Computer Vision

This web page contains information about the course
CMSC5711 Image Processing and Computer Vision (course description): The first part of the course includes fundamental topics in image processing, e.g., image enhancement techniques, color image processing, image segmentation, and image compression. The second part of the course focuses on topics concerning methodologies of recovering 3D information from 2D images. Specifically, techniques for camera calibration, stereo vision, motion analysis, pose estimation and structure from motion will be discussed. These techniques will have practical applications to virtual reality, model reconstruction and graphics.
Edited: 2 Dec., 2021



Date: Term 2020-2021 (Wed)
CMSC5711 - Term 2 - Wed (6:30-9:30pm)
Venue: ERB803. See AVSU  and cuhk-campus-map
Tutors: To Be Announced.
Final Exam:  To Be Announced.

Teacher : Dr. K.H. Wong  ( khwong@cse_dot_cuhk_dot_edu_hk )
Tutor  : ZHANG, Jianping <JianpingZhang@link_dot_cuhk_dot_edu_dot_hk )

Web based support : https://blackboard.cuhk.edu.hk (360 user )
No. of Enrollment:   (60 quota)

Lecture Note Section Lecture
week(date) 
Hints for assignment and programming exercises
Submit assignments using https://blackboard.cuhk.edu.hk 
Additional info.




iv00: Course outline
1
Octave guide
iv01. Introduction
1


iv02. Camera model
2 ChessBoard.pdf ,
ch2_163camera_3b_release
demo video
iv03. Edge detection
3 demo_edge1.zip
iv04. Feature extraction 4
demo_harris1.zip
iv05. Hough transform 5



No lecture, Chinese New year Holiday


iv06. Histogram 6

iv07. Camshift 7

iv08. Stereo
8 demo_stereo5i_for_ex4.zip
demo_stereo_92b.zip
iv09. Structure from motion by factorization (SFM)
9

 

demo_factor_92c_metric.zip

iv10. Pose estimation
10
demo_pose_5711_210307.zip
iv11. Bundle adjustment
11
MATLAB software for 3D reconstruction
iv12. VRML display
12







Important information
References
Marking scheme and Exams

Lee Shau Kee Building  LT4 (If face-to-face is allowed, but until now face-to-face is not allowed), see Campus (Map)