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Course Detail

EE4266 Computer Vision
Objectives
Computer Vision and Image Processing play very important roles in fields such as Machine and Robot Intelligence. They provide the means for the machine or robot to interact intelligently with the outside world through visual perception. Vision is undoubtedly the most powerful of all senses and enables robots to perform very flexible tasks such as moving around autonomously in a factory floor or outdoors. The applications are plentiful and very challenging. Face recognition, human activity interpretations, human-computer interaction, quality inspection of mass-produced parts, robot/missile/vehicle guidance, medical imaging and computer vision-aided surgery are some of these applications. The objective of this course is to prepare students for working in such intelligent automation fields. Course content covers image representation, preprocessing techniques, segmentation and representation, recognition and machine intelligence and Machine vision applications.
Outline
Acquire the fundamental knowledge and skills needed to understand and implement the various image processing algorithms (such as edge detection, feature extraction and forms of representation), camera geometry, pattern recognition theory and machine learning.
Who Should Attend
Eligibility Criteria
At least 21 years of age
Have 2 years of full-time work experience, or have fully discharged full-time NS liability, or are currently employed on a full-time basis.
Degree in Engineering/Science or
Polytechnic Diploma with relevant working experience
Details
Date(s): 12 Aug 2019 to 06 Dec 2019
Time: Refer to Class and Exam Schedules
Venue: TR102
Closing Date of Registration: 18 Nov 2018
Course Fee Payable:(Inclusive of GST) Refer to the course fee table

Subsidy/Funding
MOE (SBMC) No
E2I No
SSG Yes
Academic Units (AU)
Number of AU: 4
Online Registration
Closed
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Method of Payment
  1. Online Credit/Debit Card Payment (VISA and Mastercard only)
  2. Cash/Cheque/NETS payment at One-Stop@SAC (NTU Main Campus)
Withdrawal & Refund Policy

Once payment is made, applicant is committed to the completion of course. Course fee refunds will not be considered.

Terms and Conditions
  1. Course is subject to a minimum participation number before commencement.
  2. Course is subject to a first-come-first-serve basis.
  3. Registration is non-transferable.
  4. Student must meet all eligibility criteria for admission.
  5. Student is required to complete all assessments for each course.
  6. PaCE College reserves the right to change or cancel any course or lecturer due to unforeseen circumstances.
  7. All details are correct at time of dissemination.
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