|
|
| Offered by:
Department of Mathematical Modelling
(IMM) |
| Prerequisite: 04250.04241 |
| Recommended semester:
7th - 9th semester |
| Limitation: Max. 20 |
| Examination:
Approval of exercises and evaluation of report
(
pass/fail
) |
| Remarks: Thecourse is only expected to be given once |
| Contact person: |
Gæsteprofessor Hans Knutsson, IMM
Kursusansvarlig: Bjarne Kjær Ersbøll, IMM, Tel. +45 4525 3413 |
|
| Aim: The aim of the course is to give an overview of problems in machine vision and suggest general methods, in particular adaptive techniques, for the design of appropriate signal processing algorithms. |
Contents: The contents are:
- Problems in machine vision
- Biological vision
- Multidimensional Fourier Theory
- Information representation - Tensors
- Quadrature filters
- Local Phase, frequency and Orientation
- Operations on multi-dimensional data
- Adaptive filtering
- Uncertain and missing data
- Normalized Convolution
- Adaptive signal modelling
- Canonical correlation
- Learning feature descriptors |
