Note: This is an archived Handbook entry from 2012.
|Dates & Locations:|| |
This subject is not offered in 2012.
|Time Commitment:||Contact Hours: 36 hours, made up of 24 one-hour lectures (two per week) and 12 one-hour workshops (one per week) |
Total Time Commitment:
Completion of 50 points of third year computing study, or equivalent, or enrolment in Masters degree.
|Recommended Background Knowledge:|| |
Previous study in artificial intelligence and computer graphics.
|Non Allowed Subjects:||
433-480 Computer Vision and Image Processing
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.The University is dedicated to provide support to those with special requirements. Further details on the Disability support scheme can be found at the Disability Liaison Unit Website:http://www.services.unimelb.edu.au/disability/
Professor Alistair Moffat
Computer vision is the task of using computers to extract useful information automatically from digital images and videos; image processing is the business of transforming images to be more suitable for human interpretation, storage, transmission, or analysis by computer vision. Computer vision and image processing can be used in such practical applications as: automated inspection for quality control in industry; medical imaging; visual guidance for robots; face recognition; automated surveillance and monitoring; remote sensing.
Topics to be covered include low-level, mid-level, and high-level vision; image formation; segmentation; visual motion analysis; stereo; and the Hough transform. Additional topics will be selected from: synopsis of human vision; perceptual organisation; feature extraction; shape from shading and other properties; colour processing; shape analysis; texture; image and video compression; object recognition; image interpretation; and scene understanding.
On completion of this subject students should be able to:
|Prescribed Texts:|| |
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On completion of this subject students should have the:
Bachelor of Computer Science (Honours) |
Download PDF version.