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Coherency-Based Curve Compression for High-Order Finite Element Model Visualization
Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik. Linköpings universitet, Tekniska högskolan.ORCID-id: 0000-0002-2849-6146
Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik. Linköpings universitet, Tekniska högskolan.
University of Auckland, New Zealand .
University of Auckland, New Zealand .
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2012 (Engelska)Ingår i: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 18, nr 12, s. 2315-2324Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Finite element (FE) models are frequently used in engineering and life sciences within time-consuming simulations. In contrast with the regular grid structure facilitated by volumetric data sets, as used in medicine or geosciences, FE models are defined over a non-uniform grid. Elements can have curved faces and their interior can be defined through high-order basis functions, which pose additional challenges when visualizing these models. During ray-casting, the uniformly distributed sample points along each viewing ray must be transformed into the material space defined within each element. The computational complexity of this transformation makes a straightforward approach inadequate for interactive data exploration. In this paper, we introduce a novel coherency-based method which supports the interactive exploration of FE models by decoupling the expensive world-to-material space transformation from the rendering stage, thereby allowing it to be performed within a precomputation stage. Therefore, our approach computes view-independent proxy rays in material space, which are clustered to facilitate data reduction. During rendering, these proxy rays are accessed, and it becomes possible to visually analyze high-order FE models at interactive frame rates, even when they are time-varying or consist of multiple modalities. Within this paper, we provide the necessary background about the FE data, describe our decoupling method, and introduce our interactive rendering algorithm. Furthermore, we provide visual results and analyze the error introduced by the presented approach.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE) , 2012. Vol. 18, nr 12, s. 2315-2324
Nyckelord [en]
Finite element visualization, GPU-base dray-casting
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:liu:diva-86633DOI: 10.1109/TVCG.2012.206ISI: 000310143100035OAI: oai:DiVA.org:liu-86633DiVA, id: diva2:580110
Anmärkning

Funding Agencies|Swedish Research Council (VR)|2011-4113|Excellence Center at Linkoping and Lund in Information Technology (ELLIIT)||Swedish e-Science Research Centre (SeRC)||

Tillgänglig från: 2012-12-20 Skapad: 2012-12-20 Senast uppdaterad: 2018-05-21
Ingår i avhandling
1. Tailoring visualization applications for tasks and users
Öppna denna publikation i ny flik eller fönster >>Tailoring visualization applications for tasks and users
2018 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Exponential increases in available computational resources over the recent decades have fueled an information explosion in almost every scientific field. This has led to a societal change shifting from an information-poor research environment to an over-abundance of information. As many of these cases involve too much information to directly comprehend, visualization proves to be an effective tool to gain insight into these large datasets. While visualization has been used since the beginning of mankind, its importance is only increasing as the exponential information growth widens the difference between the amount of gathered data and the relatively constant human ability to ingest information. Visualization, as a methodology and tool of transforming complex data into an intuitive visual representation can leverage the combined computational resources and the human cognitive capabilities in order to mitigate this growing discrepancy.

A large portion of visualization research is, directly or indirectly, targets users in an application domain, such as medicine, biology, physics, or others. Applied research is aimed at the creation of visualization applications or systems that solve a specific problem within the domain. Combining prior research and applying it to a concrete problem enables the possibility to compare and determine the usability and usefulness of existing visualization techniques. These applications can only be effective when the domain experts are closely involved in the design process, leading to an iterative workflow that informs its form and function. These visualization solutions can be separated into three categories: Exploration, in which users perform an initial study of data, Analysis, in which an established technique is repeatedly applied to a large number of datasets, and Communication in which findings are published to a wider public audience.

This thesis presents five examples of application development in finite element modeling, medicine, urban search & rescue, and astronomy and astrophysics. For the finite element modeling, an exploration tool for simulations of stress tensors in a human heart uses a compression method to achieve interactive frame rates. In the medical domain, an analysis system aimed at guiding surgeons during Deep Brain Stimulation interventions fuses multiple modalities in order to improve their outcome. A second analysis application is targeted at the Urban Search & Rescue community supporting the extraction of injured victims and enabling a more sophisticated decision making strategy. For the astronomical domain, first, an exploration application enables the analysis of time-varying volumetric plasma simulations to improving these simulations and thus better predict space weather. A final system focusses on combining all three categories into a single application that enables the same tools to be used for Exploration, Analysis, and Communication, thus requiring the handling of large coordinate systems, and high-fidelity rendering of planetary surfaces and spacecraft operations.

Ort, förlag, år, upplaga, sidor
Linköping: Linköping University Electronic Press, 2018. s. 87
Serie
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1940
Nationell ämneskategori
Annan data- och informationsvetenskap
Identifikatorer
urn:nbn:se:liu:diva-147975 (URN)10.3384/diss.diva-147975 (DOI)9789176852910 (ISBN)
Disputation
2018-06-15, Domteatern, Visualiseringscenter C, Kungsgatan 54, Campus Norrköping, Norrköping, 08:00 (Engelska)
Opponent
Handledare
Tillgänglig från: 2018-05-21 Skapad: 2018-05-21 Senast uppdaterad: 2019-09-26Bibliografiskt granskad

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Bock, AlexanderSundén, ErikRopinski, Timo

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