Teaching Responsibility

LJMU Schools involved in Delivery:

Computer Science and Mathematics

Learning Methods

Lecture

Practical

Module Offerings

7113COMP-SEP-CTY

Aims

To provide the underpinning knowledge, concepts and principles of Computer Vision and Image Processing. To develop the expertise in Image Processing using GPGPU. To develop the expertise in Computer Vision as a tool in computer games development.

Learning Outcomes

1.
Critically evaluate common Computer Vision and Image Processing algorithms.
2.
Critically analyse theoretical and practical capabilities and limitation of Computer Vision.
3.
Design and implement Image Processing and Computer Vision algorithms using GPGPU.

Module Content

Outline Syllabus:Sampling and Quantization Colour Transformation Spatial and Frequency Spatial and Frequency Domain Filtering Edge detection Segmentation Object recognition GPGPU programming
Additional Information:This module teaches the principles of image processing and its application using GPGPU in computer games, including colour transformation, spatial and frequency domain filtering and sampling. The module also covers computer vision algorithms with topics ranging from basic operations such as edge detections and segmentation to the more complex processes such as object recognition.

Assessments

Report