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|
|Teaching period||Semester 1 (On campus)|
|Domestic Tuition Fees (NZD)||$1,348.60|
|International Tuition Fees (NZD)||$5,967.53|
- 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.
- Computer Science Adviser
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- Teaching staff
- 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
- Two assignments 40%
- Teaching Arrangements
- There is one 2-hour lecture per week.
Textbooks 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
Students who successfully complete this paper will
- 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