Image Analysis and Computer Graphics Summer
School
Sprog:
Point( ECTS )
5
Kursustype:
Ph.d.
Sommerkursus fra 18. - 23. august 2013
Undervisningens placering:
Marstal, Ærø
Undervisningsform:
sommerkursus
Kursets varighed:
[Kurset følger ikke DTUs normale
skemastruktur]
Evalueringsform:
Hjælpemidler:
Bedømmelsesform:
Deltagerbegrænsning:
Maksimum: 70
Overordnede kursusmål:
Introduce the use of tensors and tensor fields as compact data
representations, and illustrate with examples from computer vision
and medical imaging. Demonstrate the novel aspects of such
representations, and introduce the mathematical toolset required in
order to be able to perform analysis of one's own data in these
domains.
Læringsmål:
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
Understand the relevance and importance of being able to
represent tensors and tensor fields as images
Understand the relationship between tensor fields and
manifolds
Understand how computational geometry can be used to analyse
manifolds and tensor fields
Implement statistical measures on tensor fields
Apply standard analytical methods to their own tensor data
Describe the state-of-the-art use of tensors and tensor fields
in various applications, including
1. Tensors derived from scalar images (e.g. computer
vision)
The course is based upon the differing approaches to tensors and
tensor field imaging promoted by the various invited speakers, each
of whom is internationally well-regarded for their research in this
area. The format will be based upon a series of lectures by each
speaker, first introducing the attendees to their own speciality
before building up to a description of the latest developments. In
addition, exercises will be provided to reinforce the principles
presented in the lectures. Introductory lectures at the start of
the week by local speakers will ensure that everyone has a chance
to reach the same level before the invited speakers begin. Local
speakers will also provide a selection of other example
applications of the presented approaches.
By providing two differing viewpoints of how tensors and tensor
fields can be applied to existing datasets, we aim to provide a
diverse toolset of mathematical methods that will permit attendees
to directly utilise these powerful approaches in their own
research.
