Computer Vision is a field of study that generally attempts to duplicate the abilities of human vision through acquiring, processing, analysing, and understanding digital images captured with a camera. This unit will focus on computer vision in a context of advanced human computer interaction, specifically how computer vision can make possible many interesting advanced interfaces. For example, computer vision can make a computer understand the body/hand gestures of users. Computer vision can also determine the position and orientation of user's viewpoint, in case of Augmented Reality (AR) applications, to display and stabilise (co-locate) digital contents in the real world as if they do exist. The unit will cover in both theory and practical implementations of several computer vision techniques such as image segmentation, object recognition, feature extraction (e.g. SIFT), structured light pattern (e.g. Kinect), Structure-from-Motion (SfM), projective geometry (e.g. Mono SLAM, PTAM). Tutorial sessions will aim to introduce different tools in MATLAB to help take the theoretical knowledges of computer vision into developing an interface application.
|Unit name||Computer Vision in Interactive Systems|
|Faculty/School||College of Sciences and Engineering
School of Technology, Environments and Design
|Discipline||Information & Communication Technology|
|Available as student elective?||Yes|
This unit is currently unavailable.
Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Special approval is required for enrolment into TNE Program units.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2020.
|Band||Field of Education|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
- Enrolled in an honours degree or DN/HD in two level 400/500/600/700 units or equivalent of intermediate level programming skills
3hrs lectures,1hr tutorial weekly
40% exam, 60% in-semester (Assignment 1 (10%); Assignment 2 (10%); Assignment 3 (20%); Assignment 4 (20%))
|Timetable||View the lecture timetable | View the full unit timetable|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.