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Overview

An introduction to image processing, computer graphics, and computer vision. Topics covered include image representation, algorithms to interpret image data, and rendering for realistic and real-time computer graphics.

Visual Computing covers a range of topics that deal with images in a computer. This includes manipulating and editing images (image processing); generating images from 3D models (computer graphics); and programs that understand the content of images (computer vision). In this paper you will learn about all these topics, and how computers work with images and videos in a wide range of areas.

About this paper

Paper title Visual Computing: Graphics & Vision
Subject Computer Science
EFTS 0.15
Points 18 points
Teaching period Semester 1 (On campus)
Domestic Tuition Fees ( NZD ) $1,318.20
International Tuition Fees Tuition Fees for international students are elsewhere on this website.
Prerequisite
(COSC 201 or COSC 242) and (MATH 130 or MATH 140)
Recommended Preparation
COSC 202
Schedule C
Arts and Music, Science
Contact

School of Computing Advisors

Teaching staff

Professor Steven Mills
 

Paper Structure

The topics covered in this paper are as follows:

  • Image representation and colour models
  • Image processing - image filtering, 2D transformations, image mosaicing
  • Computer vision - understanding image content, image-based recognition, stereo vision
  • Computer graphics - rendering, OpenGL for real-time rendering, ray tracing for realistic rendering

 

Teaching Arrangements

There are two 1-hour lectures per week and one 2-hour lab per week.

Textbooks

Textbooks are not required for this paper.

Graduate Attributes Emphasised
Interdisciplinary perspective, Lifelong learning, Information literacy, Research, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes

This paper will enable students to:

  • Gain a high level understanding of the related fields of image processing, computer vision, and computer graphics
  • Implement algorithms that produce, process, and interpret images
  • Represent and manipulate images and geometric elements (shapes, points, lines etc) in a computer program
  • Apply transformations to 2D and 3D objects
Assessment details
  • Internal assessment (assignments) 60%
  • Final exam 40%

Overview

An introduction to image processing, computer graphics, and computer vision. Topics covered include image representation, algorithms to interpret image data, and rendering for realistic and real-time computer graphics.

Visual Computing covers a range of topics that deal with images in a computer. This includes manipulating and editing images (image processing), generating images from 3D models (computer graphics) and programs that understand the content of images (computer vision). In this paper, you will learn about all these topics and how computers work with images and videos in a wide range of areas.

About this paper

Paper title Visual Computing: Graphics & Vision
Subject Computer Science
EFTS 0.15
Points 18 points
Teaching period Semester 1 (On campus)
Domestic Tuition Fees Tuition Fees for 2027 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.
Prerequisite
(COSC 201 or COSC 242) and (MATH 130 or MATH 140)
Recommended Preparation
COSC 202
Schedule C
Arts and Music, Science
Contact

School of Computing Advisors

Teaching staff

Dr Jacob Young

Professor Steven Mills

Paper Structure

The topics covered in this paper are as follows:

  • Image representation and colour models
  • Image processing - image filtering, 2D transformations, image mosaicing
  • Computer vision - understanding image content, image-based recognition, stereo vision
  • Computer graphics - rendering, OpenGL for real-time rendering, ray tracing for realistic rendering
Teaching Arrangements

There are two 1-hour lectures per week and one 2-hour lab per week.

Textbooks

Textbooks are not required for this paper.

Graduate Attributes Emphasised
Interdisciplinary perspective, Lifelong learning, Information literacy, Research, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes

This paper will enable students to:

  • Gain a high-level understanding of the related fields of image processing, computer vision and computer graphics
  • Implement algorithms that produce, process and interpret images
  • Represent and manipulate images and geometric elements (shapes, points, lines, etc.) in a computer program
  • Apply transformations to 2D and 3D objects
Assessment details
  • Internal assessment (assignments) 60%
  • Final exam 40%
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