COMP3007

COMP3007: Machine Perception

Science and Engineering

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About this Unit

This unit provides an introduction to the general machine perception problem. It covers image data capture and processing (including data compression and biometrics) as well as video processing. Applications covered include speech recognition, 3D object recognition and object tracking. Tools used in machine perceptions are also addressed, including syntactic pattern recognition, string/graph matching, statistical pattern recognition, decision trees (especially the C4.5 algorithm) and neural networks.

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Unit Details

Credits25

Contact Hours3 Weekly

Result TypeGrade/Mark

AreaSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS) (1153)

Field of Education020119 Artificial Intelligence

Handbook View Official Handbook Page →

Tuition Pattern

Computer Laboratory1 x 1 hour weekly
Lecture1 x 2 hours weekly

Prerequisites

Prerequisites group 1Select One

COMP1002v1Data Structures and Algorithms

Prerequisites group 2Select One

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