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COSC450 Computer Vision and Graphics

Selected recent research topics in computer vision and computer graphics.

The topics may vary from year to year, but will introduce students to key concepts and algorithms in the fields and to current research within the department.

Paper title Computer Vision and Graphics
Paper code COSC450
Subject Computer Science
EFTS 0.1667
Points 20 points
Teaching period First Semester
Domestic Tuition Fees (NZD) $1,307.76
International Tuition Fees (NZD) $5,517.77

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Eligibility
There are no formal prerequisites for the 400-level papers, but prior knowledge is assumed. Admission to these papers is restricted not only by numbers, but by satisfactory grades in 300-level COSC papers.
Contact
Computer Science Adviser
Teaching staff

Lecturers: Dr Steven Mills and Dr Stefanie Zollmann

Paper Structure

This paper examines a range of topics in the related fields of image processing, computer vision and computer graphics. These three fields all relate to images and the processing and construction of images in computer programs. One way to think about the difference between the fields is in terms of input and output:

  • Image processing takes images as input and produces images as output
  • Computer vision takes images as input and produces abstract models as output
  • Computer graphics takes an abstract model as input and produces images as output

However, the lines between these areas are blurry at best, and many techniques are common between them.

Paper topics (may change from year to year):

  • Panoramic image stitching
  • Motion tracking
  • Animation principles
  • Advanced rendering techniques
  • Stereo geometry and structure from motion
  • Procedural model generation

Assessment:

  • Two assignments 40%
Teaching Arrangements
There is one 2-hour lecture per week.
Textbooks
Text books are not required for this paper.
Resources are listed on the paper's web page.
Course outline
View the course outline for COSC 450
Graduate Attributes Emphasised
Interdisciplinary perspective, Lifelong learning, Scholarship, Research.
View more information about Otago's graduate attributes.
Learning Outcomes
  • Gain an in-depth understanding of a selection of current research topics in Computer Vision and Graphics
  • Understand the core algorithms and techniques related to each of these topics, including an appreciation of the relative strengths and weaknesses of different approaches
  • Implement these algorithms, making appropriate use of current tools and libraries
  • Demonstrate an understanding of the underlying mathematical foundations of the subject and how this theory relates to the practical application of key techniques in vision and graphics

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Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
None

Lecture

Stream Days Times Weeks
Attend
L1 Tuesday 11:00-12:50 9-16, 18-22