Machine Perception

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Lectures

The lectures schedules is a half lecture behind schedule. E.g. the 26th of September we only managed to do half of the color chapter.
No Week Date Subject Chapter
1 37 12 sept Introduction 2
2 38 19 sept Interpolation, Geometric Transforms, Facet Model 2
3 39 26 sept Color 3
4 40 3 okt Multi Local Statistics 5
5 41 10 okt Local Image Structure 4
6 42 17 okt Local Image Structure 4
7 44 31 okt Local Image Structure 4
8 45 7 nov Connectivity, Morphology 6
9 46 14 nov Morphology, Grouping 6,7
10 47 21 nov Grouping 7

Lab Assignments

No Start (week) Subject Due (week)
1 39 Interpolation, Geometric Transforms, Facet Model 41
2 41 Color, Isodata Thresholding 44
3 44 Gaussian Convolution, Canny Edge Detector 46
4 46 Morphology 48
this page is maintained by:
Rein van den Boomgaard,
email rein@science.uva.nl