Computer Vision (EE4266)

NTU Professional and Continuing Education (PaCE@NTU)


Course introduction

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.



Course Pre-Requisites


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

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To process your application.
For course administration and billing.
To enable the trainers to know the background of the course participants.
To submit to organisations for course funding verification (only applicable to funded courses).
To issue certificate to the course participants.
For marketing of courses to participants via E-newsletter.
To understand and study the profile of its course participants for NTU’s policy making and planning.
To deal with any matter related to the course.



Course 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.



Available Course Sessions


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Trainer Profile


Certified Trainer

Nanyang Technological University, Singapore



 

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