​CSS3913 – Computer Vision and Image Processing

Course Description

To provide the students with advanced knowledge and techniques of computer vision that simulates the biological vision, so that the students are able to develop software that is used in computer vision field. ​This course provides the students with advanced knowledge and techniques of computer vision that simulates the biological vision, so that the students are able to develop software that is used in computer vision field.

​Content Outline of the Course/Module:

  • Introduction to Computer Vision
  • Digital Image
  • Image Enhancement
  • Convolution
  • Labelling
  • Grouping
  • Matching
  • Perceiving 3D from 2D Images
  • Stereo Imaging
  • Transforming Image Representations
  • 3D Reconstruction

Course Outcome

Upon completion of this course, students should be able to:

  • Identify, relate, and explain the concepts of image processing techniques and computer vision.
  • Explain the methods and techniques in image processing of several computer vision models.
  • Build application by using computer vision algorithm.

Subject Area

Elective

Course Director

Ting Huong Yong

Teaching-learning Methods Assessment Methods
Practical Works ​Assignment, Progress Test, Presentation, Final Examination
Computer-based Learning ​Assignment, Progress Test, Presentation, Final Examination
​Lecture Assignment, Progress Test, Final Examination