There are now 3 possible online modes for units:
Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.
Units available in Online Restricted mode have been adapted for online study only for those students who require the unit to complete their studies and who are unable to attend campus owing to exceptional circumstances beyond their control. To be enrolled in a unit in Online Restricted mode, students should contact their Student Advising Office through askUWA
Click on an offering mode for more details.
- Computer vision is the science of automatically computing information and making decisions from an observed image, image set or an image sequence. It combines concepts from 'image processing' (in the spatial and frequency domains) and 'pattern recognition'. Computer vision has a wide number of potential applications, including satellite imaging, control and measurement, industrial inspection, surveillance (e.g. face recognition) and medical applications. This unit covers topics such as binary image analysis, greyscale image manipulation, linear and nonlinear filtering, feature extraction, image enhancement, image segmentation and recognition. It also covers camera calibration and projective geometry and how three-dimensional information can be reconstructed from single images, stereo pairs of images and motion sequences. In the future, it is anticipated that computer vision systems will become prevailing, and that vision technology will be more applied across a broad range of business and consumer products. This will result in a strong industry demand for computer vision engineers—for people who understand vision technology and know how to apply it in real-world problems.
- 6 points
Availability Location Mode Semester 1 UWA (Perth) Face to face Semester 1 Online Online timetabled
- Students are able to (1) explain computer vision problems in writing; (2) write MATLAB code to solve computer vision problems; (3) describe the theories and principles in computer vision; (4) conduct independent research on a chosen research topic, write a small research report, and give an oral presentation; (5) demonstrate logical thinking and problem-solving skills; (6) process images in both the spatial and frequency domains; (7) explain the technical theory behind formation of images; and (8) critique various methodologies for solving problems in computer vision and image processing.
- Indicative assessments in this unit are as follows: (1) laboratory solutions (5% per lab); (2) research project; and (3) final exam. Further information is available in the unit outline.
Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.
- Unit Coordinator(s)
- Professor Mohammed Bennamoun
- Unit rules
- Enrolment in in the ( HON-CMSSE Computer Science and Software Engineering [Honours] or the 62530 Master of Data Science or the 63550 Master of Engineering ) or ( the 62550 Master of Professional Engineering and the SP-EBIOM Biomedical Engineering specialisation or the SP-EELEC Electrical and Electronic Engineering specialisation or the SP-ESOFT Software Engineering specialisation ) or ( the 53560 Master of Physics and the SPSP-MEDPH Medical Physics specialisation ) or ( the BH008 Bachelor of Advanced Computer Science [Honours] and the MJD-ARIDM Artificial Intelligence major ) or ( the BH011 Bachelor of Engineering [Honours] and the MJD-EAUTO Automation and Robotics Engineering major )
- Advisable prior study:
- CITS2401 Computer Analysis and Visualisation And MATH1012 Mathematical Theory and Methods (Note: Students must have the ability to program in a high-level programming language and the ability to reason in linear algebra and calculus.)
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.
Face to face
Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
Not available for self-enrolment. Students access this mode by contacting their student office through AskUWA. 100% Online Unit.
NO campus face-to-face attendance. All study and assessment requirements are online only. Unit includes some timetabled activities, with a requirement for students to participate online at specific times. In exceptional cases (noted in the Handbook) students may be required to participate in face-to-face laboratory classes when a return to UWA’s Crawley campus becomes possible in order to be awarded a final grade.
No attendance or regular contact is required, and all study requirements are completed either via correspondence and/or online submission.
Regular attendance is not required, but student attends the institution face to face on an agreed schedule for purposes of supervision and/or instruction.
Multiple modes of delivery. Unit includes a mix of online and on-campus study requirements. On campus attendance for some activities is required to complete this unit.