COSC428-13S1 (C) Semester One 2013

Computer Vision

15 points

Details:
Start Date: Monday, 18 February 2013
End Date: Sunday, 23 June 2013
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 3 March 2013
  • Without academic penalty (including no fee refund): Sunday, 19 May 2013

Description

This course covers advanced techniques and algorithms used in real-time computer vision and image processing design.

The goal of computer vision is to recognise objects and their motion by creating a model of the real world from images. Object recognition and tracking needs to allow for large variations in appearance caused by changes in viewing position, illumination, occlusion and object shape.

This course encompasses the theory and practical applications of computer vision including image processing (useful in early stages of computer vision usually to enhance particular information and suppress noise) and visual cognition (computational models of human vision).

The objective of this course is to present an insight into the world of computer vision that goes beyond image processing algorithms. Students will acquire knowledge and an understanding of artificial vision from a system’s viewpoint. Various aspects will be examined and the main approaches currently available in the literature will be discussed, opening the door to the most important research themes.

Learning Outcomes

  • The topics studied in this course will include:
  • Image processing
  • Filtering, Image Representations, and Texture Models
  • Image registration and mosaics
  • Colour Vision
  • Neurophysiology of vision
  • Multi-view Geometry
  • Projective Reconstruction
  • Stereo vision
  • Bayesian Vision; Statistical Classifiers
  • Clustering & Segmentation; Voting Methods
  • Invariant local features
  • Object recognition
  • Medical Imaging
  • Image Databases
  • Motion interpretation
  • Tracking and Density Propagation
  • Biometric authentication
  • Human activity recognition
  • Visual Surveillance and Activity Monitoring
  • Real-time vision
  • Innovative interfaces

Prerequisites

Subject to approval of the Head of Department.

Course Coordinator

Richard Green

Assessment

Assessment Due Date Percentage 
Class Particpation / Paper Review / Presentations 10%
Research Project 50%
Exam 40%


There will be a research project presented as a conference style paper (50%) and reviews of selected papers and/or class participation/presentations (10%). The final test (40%) will be used to evaluate a student’s overall understanding of the theoretical aspects discussed in the course.

Textbooks / Resources

1. “Computer Vision, A Modern Approach”, by D.A. Forsyth & J. Ponce, Prentice Hall, 2003.
2. “Machine Vision”, by R. Jain, R. Kasturi, B. G. Schunck, McGraw Hill, 1995.
3. “Learning OpenCV: Computer Vision with the OpenCV Library”, by Gary Rost Bradski, Adrian Kaehler, 2008

Indicative Fees

Domestic fee $847.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Computer Science and Software Engineering .

All COSC428 Occurrences

  • COSC428-13S1 (C) Semester One 2013
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