Authorised by Academic Registrar, April 1996
Objectives After successful completion of this subject the student should understand the principles and techniques of representing 1D and 2D image data through multi-resolution images, scale space and the wavelet transform; be familiar with the techniques used to acquire 3D information such as the collection of range data through passive and active sensing methods; understand the processes used to reduce, segment and classify 3D data; have reviewed some of the current models used to describe 3D objects.
Synopsis Multiresolution images. Scale space representation. Wavelets. The formation, processing and interpretation of 3-D images. Shape from X. Range images. Optical flow. Confocal microscopy image analysis, fluorescence imaging. Application case studies in industry, biology and agriculture.
Assessment Examination (1.5 hours): 50% + Project work: 50%