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THE UNIVERSITY of EDINBURGHDEGREE REGULATIONS & PROGRAMMES OF STUDY 2007/2008
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Advanced Vision (Level 10) (U01942)? Credit Points : 10 ? SCQF Level : 10 ? Acronym : INF-4-AV This course aims to build on the introductory computer vision material taught in Introduction to Vision and Robotics. The main aim is to give students an understanding of main concepts in visual processing by constructing several vision systems during the course of the lecture series and practicals. Entry Requirements? Pre-requisites : Successful completion of Year 3 of an Informatics Single or Combined Honours Degree, or equivalent by permission of the School. This course assumes basic knowledge of image data, geometry, matrix algebra, trigonometry. Students must also be able to program in MATLAB. ? Prohibited combinations : Advanced Vision (Level 11) (P01186) Subject AreasHome subject areaIntelligent Robotics, (School of Informatics, Schedule O) Other subject areasVision, Perception and Action, (School of Informatics, Schedule O) Delivery Information? Normal year taken : 4th year ? Delivery Period : Semester 2 (Blocks 3-4) ? Contact Teaching Time : 2 hour(s) per week for 10 weeks First Class Information
All of the following classes
Summary of Intended Learning Outcomes
After succesfully completing the course a student should:
- Understand machine vision principles (assessed by exam). - Be able to acquire and process raw image data (assessed practical). - Be able to relate image data to 3D scene structures (assessed practical). - Know the concepts behind and how to use several model-based object representations, and to critically compare them (assessed by exam). - Know many of the most popularly used current computer vision techniques (assessed by exam). - Undertake computer vision work in MATLAB (assessed practical). Assessment Information
Written Examination 70%
Assessed Assignments 30% Exam times
Contact and Further InformationThe Course Secretary should be the first point of contact for all enquiries. Course Secretary Mr James Bathgate Course Organiser Dr Amos Storkey Course Website : http://www.inf.ed.ac.uk/teaching/courses School Website : http://www.informatics.ed.ac.uk/ College Website : http://www.scieng.ed.ac.uk/ |
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