This course develops your skills in the application of visual data processing techniques. Visual data is referred to as data obtained by light sensors, including cameras, laser scanners and the newer generation of devices such as Microsoft Kinect. The primary focus is on the techniques for segmentation of visual data for designing automated engineering systems. Segmentation is the art of breaking data into meaningful parts. In this course the emphasis is upon parametric segmentation using statistical model fitting techniques.
The course will specifically:
* Provide an understanding of probability and statistical modelling techniques;
* Develop high level skills in robust statistical segmentation techniques;
* Develop skills in the selection and application of visual sensors and their associated data processing techniques for various engineering tasks;
* Develop an ability to anticipate the social and financial impacts of decisions related to implementation of visual based technologies;
* Develop knowledge of future trends in visual data technologies.