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IT5409 - Ch0 - About Course - 4pages

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22/05/2021

General information
• Course name:
COMPUTER VISION
Computer Vision • Code:
• Credit:
IT5409
3(3-1-0-6)
Chapter 0: General information ‒ Lecturer: 45 hours
‒ Capstone project: 15 hours
‒ Experiments: 0 hours

Evaluation Rules
• Mid-term (0.4) • In-class attendance
‒ Capstone project evaluation • Telephone:
• Program ‒ turn-off or in vibration mode
• Report
• Come in/out if necessary
• Presentation
‒ No need for asking permission
‒ Bonus
‒ Without noise
• Final term: written exam (0.6)
22/05/2021

Course Content How to learn?


• Chapter 1. Introduction • Class attendance
• Chapter 2. Image formation, acquisition and digitization • Reading additional articles / books
• Chapter 3. Image Processing • Practice your-self (OpenCV, ...)
• Chapter 4. Feature detection and matching • QA
• Chapter 5. Segmentation
• Chapter 6. Motion object detection and tracking
• Chapter 7. Object recognition and deep learning

Reference books
• [1]. Richard Szeliski (2011). Computer Vision:
Algorithms and Applications. Springer.
http://szeliski.org/Book/
• [2]. David A. Forsyth, Jean Ponce (2011).
Computer Vision: A modern Approach. Thank you for
Pearson your attention!
• [3]. Ranjay Krishna, Ed and Compiler
“Computer Vision: Foundations and
Application”, Stanford University, First
printing, December 2017.

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