Lab Session

CS4243: Computer Vision and Pattern Recognition, AY 2023/24

Introduction

Welcome to the lab session of CS4243 👋!

This course is for undergraduates who are interested in computer vision and its applications. It covers:

1. The basic skills needed in handling images and videos.
2. The basic theories needed to understand geometrical computer vision.
3. Pattern recognition.

• Topics covered in image handling include: contrast stretch, histogram equalization, noise removal, and color space.
• Topics covered in geometrical vision include: affine transform, vanishing points, camera projection models, homography, camera calibration, rotation representations including quaternions, epipolar geometry, binocular stereo, and structure from motion.
• Topics covered for pattern recognition include principal component analysis.

Materials

Lab	Week	Topic	Slides	Tutorial	Solution
1	3	Background and Global Operations	slides	notebook	notebook
2	4	Local Operations and Spatial Domain Filtering	slides	notebook	notebook
3	5	Filtering in Fourier Domain	slides	notebook	notebook
4	6	Texture Analysis	slides	notebook	notebook
-	7	Recess Week 🌴	-	-	-
5	8 (Mon)	GLCM-Based Texture Analysis, Laws Filters	slides	notebook	notebook
5	8 (Tue)	GLCM-Based Texture Analysis, Laws Filters	slides	notebook	notebook
6	9	Optical Flow	slides	notebook	notebook
7	10	Deep Learning, Part 1	slides	notebook	notebook
8	11	Deep Learning, Part 2	slides	notebook	notebook

Contact

• Lingdong Kong: [email protected]
• Xiao Cao: [email protected]
• Weida Liang: [email protected]