Header

UZH-Logo

Maintenance Infos

Tensor approximation in visualization and graphics


Pajarola, Renato; Suter, Susanne K; Ruiters, Roland (2013). Tensor approximation in visualization and graphics. In: Eurographics Tutorials, Girona, Spain, 6 May 2013 - 10 May 2013.

Abstract

In this course, we will introduce the basic concepts of tensor approximation (TA) – a higher-order generalization of the SVD and PCA methods – as well as its applications to visual data representation, analysis and visualization, and bring the TA framework closer to visualization and computer graphics researchers and practitioners. The course will cover the theoretical background of TA methods, their properties and how to compute them, as well as practical applications of TA methods in visualization and computer graphics contexts. In a first theoretical part, the attendees will be instructed on the necessary mathematical background of TA methods to learn the basics skills of using and applying these new tools in the context of the representation of large multidimensional visual data. Specific and very noteworthy features of the TA framework are highlighted which can effectively be exploited for spatio-temporal multidimensional data representation and visualization purposes. In two application oriented sessions, compact TA data representation in scientific visualization and computer graphics as well as decomposition and reconstruction algorithms will be demonstrated. At the end of the course, the participants will have a good basic knowledge of TA methods along with a practical understanding of its potential application in visualization and graphics related projects.

Abstract

In this course, we will introduce the basic concepts of tensor approximation (TA) – a higher-order generalization of the SVD and PCA methods – as well as its applications to visual data representation, analysis and visualization, and bring the TA framework closer to visualization and computer graphics researchers and practitioners. The course will cover the theoretical background of TA methods, their properties and how to compute them, as well as practical applications of TA methods in visualization and computer graphics contexts. In a first theoretical part, the attendees will be instructed on the necessary mathematical background of TA methods to learn the basics skills of using and applying these new tools in the context of the representation of large multidimensional visual data. Specific and very noteworthy features of the TA framework are highlighted which can effectively be exploited for spatio-temporal multidimensional data representation and visualization purposes. In two application oriented sessions, compact TA data representation in scientific visualization and computer graphics as well as decomposition and reconstruction algorithms will be demonstrated. At the end of the course, the participants will have a good basic knowledge of TA methods along with a practical understanding of its potential application in visualization and graphics related projects.

Statistics

Downloads

77 downloads since deposited on 27 Dec 2013
20 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Other), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:10 May 2013
Deposited On:27 Dec 2013 13:38
Last Modified:08 Dec 2017 01:18
Related URLs:http://www.ifi.uzh.ch/vmml/links/TutorTensorAprox.html (Organisation)
https://www.eg.org/
Other Identification Number:merlin-id:8421

Download

Download PDF  'Tensor approximation in visualization and graphics'.
Preview
Content: Published Version
Filetype: PDF
Size: 167kB