Cameras and Radiometry, local shading models, Colour Vision perception, representation, modelling, linear filters for smoothing, edge detection using concvolution, fourier transform, scale and image pyramids,…

Cameras and Radiometry, local shading models, Colour Vision perception, representation, modelling, linear filters for smoothing, edge detection using concvolution, fourier transform, scale and image pyramids, texture, segmentation by clustering, model fitting and probabilistic methods, tracking and Kalman filters, model-based vision, template matching using classifiers, recognition by relations, applications in robotics, medical imaging, satellite image analysis.

COMP9596 Research Project :Students in their final semester of study in MIT 8543 have the option of replacing two courses with a 12UOC research project.To be able to enrol in COMP9596, students must meet the follwoing criteria: 1. Have completed or have advanced standing in 72uoc; and 2. Have obtained agreement from a CSE academic supervisor; and 3. Have maintained a distinction level performance in the program.Projects are graded, and students deliver a seminar and submit a written report. More information is available in the Course Outline. Students should seek agreement from a supervisor prior to submitting a Project Nomination form to the CSE Student Office.

COMP9900 Information Technology Project :- A capstone software project. Students work in teams to define, implement andevaluate a real-world software system. Most of the work in this course is team-based project work, although there are some introductory lectures on software project management and teamwork strategies. Project teams meet fortnightly with project mentors to report on the progress of the project. Assessment is based on a project proposal, a final project demonstration and report, and on the quality of the software system itself. Students are also required to reflect on their work and to provide peer assessment of their team-mates’ contributions to the project.

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