EE4211Computer Vision

What you will study

Course overview

The elective course introduces a thorough grounding of the principles of image processing and computer vision and seeks to develop students’ knowledge from basic image processing techniques to advanced computer vision. It concentrates on the fundamental theory of image processing and computer vision with emphasis on the areas of feature extraction, image segmentation, object recognition.

Official PDF, pages 1–2 · Abstract

Course content

Keyword Syllabus This elective course is designed for electronic engineering students to learn the principles of digital image processing and the use of digital image processing techniques to solve practical problems in computer vision field. The course will first introduce basic concepts, theory and methods of digital image processing, including image acquisition, image representation, sampling, interpolation, geometric distortions, image restoration. Then this course will introduce image segmentation, object recognition, image classification.

Official PDF, page 4 · Keyword Syllabus

Intended learning outcomes

View official learning outcomes and conditions

Course Intended Learning Outcomes (CILOs)
               CILOs                                              Weighting (if DEC-A1          DEC-A2             DEC-A3
                                                                  app.)
1              Student will be involved in the lecture to gain                                  x
               knowledge of the main characteristics of
               different image processing techniques and
               computer vision applications
2              Student will be involved in the project session                    x             x
               to implement image processing and computer
               vision algorithms on computers
3              Student will be able to apply the learned                          x             x
               knowledge in computer vision and image
               processing principles to create new and
               improved solutions for real-world applications

A1: Attitude
Develop an attitude of discovery/innovation/creativity, as demonstrated by students possessing a strong sense of curiosity,
asking questions actively, challenging assumptions or engaging in inquiry together with teachers.

A2: Ability
Develop the ability/skill needed to discover/innovate/create, as demonstrated by students possessing critical thinking skills
to assess ideas, acquiring research skills, synthesizing knowledge across disciplines or applying academic knowledge to
real-life problems.

A3: Accomplishments
Demonstrate accomplishment of discovery/innovation/creativity through producing /constructing creative works/new
artefacts, effective solutions to real-life problems or new processes.

Official PDF, page 2 · Course Intended Learning Outcomes (CILOs)

Before you take this course

Check prerequisites, precursors and corequisites separately, together with equivalence and exclusion conditions. “and” means conditions must be met together; “or” marks alternatives. Read combined conditions in the groupings shown in the original text below.

Prerequisites

MA2001 Multi-variable Calculus and Linear Algebra and EE3210 Signals and Systems

Official PDF, page 1 · Prerequisites

Precursors

Nil

Official PDF, page 1 · Precursors

Corequisites

The reviewed official PDF and catalogue page do not state this item.

Additional course requirements

Complete official information for this field is not available.

Equivalent courses and conditions

Nil

Official PDF, page 1 · Equivalent Courses

Exclusive courses and conditions

Nil

Official PDF, page 1 · Exclusive Courses

Assessment and passing the course

Assessment

Continuous assessment: 65%; Examination: 35%; Examination duration: 2 hours

Assessment breakdown

Assessment task	Weight	Generative AI	Remarks and restrictions
Tests (min.: 2)CILO 1, 2, 3	50%	No	Not stated in source row
#AssignmentsCILO 1, 2, 3	15%	Yes	Not stated in source row

Official PDF, pages 2–3 · Assessment Tasks / Activities (ATs)

View the original assessment table and instructions

Assessment Tasks / Activities (ATs)


                        ATs               CILO No.              Weighting (%)     Remarks ("-" for    Allow Use of
                                                                                  nil entry)          GenAI?
1                       Tests (min.: 2)   1, 2, 3               50                -                   No
2                       #Assignments      1, 2, 3               15                -                   Yes

Continuous Assessment (%)
65

Examination (%)
35

Examination Duration (Hours)
2

Minimum Continuous Assessment Passing Requirement (%)
30

Minimum Examination Passing Requirement (%)
30

Additional Information for ATs
Remark: To pass the course, students are required to achieve at least 30% in course work and 30% in the examination. # may
include homework, tutorial exercise, project/mini-project, presentation

Passing requirements

At least 30% in coursework and 30% in the examination.

Official PDF, page 3 · Additional Information for ATs