Computer Vision and Image Processing (AMME4710)

UNIT OF STUDY

This unit of study introduces students to vision sensors, computer vision analysis and digital image processing. This course will cover the following areas: fundamental principles of vision sensors such as physics laws, radiometry, CMOS/CDD imager architectures, colour reconstruction; the design of physics-based models for vision such as reflectance models, photometric invariants, radiometric calibration. This course will also present algorithms for video/image analysis, transmission and scene interpretation. Topics such as image enhancement, restoration, stereo correspondence, pattern recognition, object segmentation and motion analysis will be covered.

Our courses that offer this unit of study

Further unit of study information

Classes

Lecture 2 hrs/week; Laboratory 3 hrs/week.

Assessment

Through semester assessment (100%)

Textbooks

R. Szeliski/Computer Vision: Algorithms and Applications/2010// R.C. Gonzalez and R.E. Woods/Digital Image Processing/3rd edition/2008//

Faculty/department permission required?

No

Unit of study rules

Prerequisites

MECH4720 or MECH4730

Assumed knowledge

Mandatory prerequisite MECH4720 Sensors and Signals or MECH4730 Computers in Real-Time Control and Instrumentation

Additional Information

Current Lectures: Dr. Thierry Peynot, tpeynot@acfr.usyd.edu.au, Dr. Shrihari Vasudevan, s.vasudevan@acfr.usyd.edu.au

Study this unit outside a degree

Non-award/non-degree study

If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.

Cross-institutional study

If you are from another Australian tertiary institution you may be permitted to underake cross-institutional study in one or more units of study at the University of Sydney.