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VRVis Research Center, Austria

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7 Papers

Attribute Grammars for Incremental Scene Graph Rendering

Topic: Systems and Software Architectures for Rendering

Authors: Harald Steinlechner , Georg Haaser , Stefan Maierhofer and Robert Tobler

Affiliation: VRVis Research Center and Austria

Digital Object Identifier: 10.5220/0007372800770088

Proceedings of GRAPP 2019, ISBN: 978-989-758-354-4

Quick Abstract

Scene graphs, as found in many visualization systems are a well-established concept for modeling virtual scenes in computer graphics. State-of-the-art approaches typically issue appropriate draw commands while traversing the graph. Equipped with a functional programming mindset we take a different approach and utilize attribute grammars as a central concept for modeling the problem domain declaratively. Instead of issuing draw commands imperatively, we synthesize first class objects describing appropriate draw commands. In order to make this approach practical in the face of dynamic changes to the scene graph, we utilize incremental evaluation, and thereby avoid repeated evaluation of unchanged parts. Our application prototypically demonstrates how complex systems benefit from domain-specific languages, declarative problem solving and the implications thereof. Besides from being concise and expressive, our solution demonstrates a real-world use case of self-adjusting computation which elegantly extends scene graphs with well-defined reactive semantics and efficient, incremental execution.

Related Ontology Subjects/Areas/Topics (3)

Computer Vision, Visualization and Computer Graphics

Rendering

Systems and Software Architectures for Rendering

Convex Hull Brushing in Scatter Plots - Multi-dimensional Correlation Analysis

Topics: Visual Representation and Interaction; Information and Scientific Visualization

Authors: Miguel Nunes ¹ , Kresimir Matkovic ¹ and Katja Bühler ²

Affiliations: ¹ VRVis Research Center, Austria , ² VRVis Reserch Center, Austria

Digital Object Identifier: 10.5220/0005356501820189

Proceedings of IVAPP 2015/VISIGRAPP, ISBN: 978-989-758-088-8

Quick Abstract

Interactive Visual Analysis has been widely used for the reason that it allows users to investigate highly complex data in coordinated multiple views, showing different perspectives over data. In order to relate data, multiple techniques of brushing have been introduced. This work extends the state of the art by introducing the Convex Hull (CH) Brush, which is a new way of selecting and interpreting high dimensional data in scatter plot (SP) views. By using a combination of brushes through linked views, the CH-Brush allows the selection and clustering of values that are not typically defined by SP ranges, in spite of sharing similarities. In CHBrushing is also able to visually report the existence of correlation between variables. Furthermore, we discuss CH-Brushing sensitivity and the application of smoothness. We use synthetic data to support our rationale and clarify the intrinsic meanings of CH-Brushing in scatter plots. We also report on the first experience on using the CH-Brush in a real-world medical case.

Related Ontology Subjects/Areas/Topics (5)

Abstract Data Visualization		General Data Visualization		Visual Representation and Interaction
Computer Vision, Visualization and Computer Graphics		Information and Scientific Visualization

CoSMo: Intent-based Composition of Shader Modules

Topics: Real-Time Rendering; Systems and Software Architectures for Rendering

Authors: Georg Haaser , Harald Steinlechner , Michael May , Michael Schwärzler , Stefan Maierhofer and Robert Tobler

Affiliation: VRVis Research Center, Austria

Digital Object Identifier: 10.5220/0004687201890199

Proceedings of GRAPP 2014/VISIGRAPP, ISBN: 978-989-758-002-4

Quick Abstract

We propose a novel shader programming model which operates on intent-oriented shader modules instead of specific programs for dedicated GPU rasterization pipeline stages. In constrast to existing pipeline shader frameworks, our system exposes a radically simplified pipeline, which we purposefully aligned with our basic intuition of shaders as per-primitive and per-pixel operations and compositions thereof. This simplicity lends itself to structure modules purely based on their intent, instead of dealing with structure enforced by specific versions of graphics APIs. Consequently, this offers great flexibility when it comes to reusing and combining modules with completely different semantics, or when targeting different graphics APIs. The simplicity and uniformity of our system also motivates automatic parameterization and simplification of shader programs as well as interesting interactive shader development and management techniques.

Related Ontology Subjects/Areas/Topics (4)

Computer Vision, Visualization and Computer Graphics		Rendering		Systems and Software Architectures for Rendering
Real-Time Rendering

INTERACTIVE VISUAL ANALYSIS OF INTENSIVE CARE UNIT DATA - Relationship between Serum Sodium Concentration, its Rate of Change and Survival Outcome

Topics: Visual Data Analysis and Knowledge Discovery; Visualization Applications

Authors: Krešimir Matković ¹ , Heng Gan ² , Andreas Ammer ¹ , David Bennett ³ , Werner Purgathofer ¹ and Marius Terblanche ³

Affiliations: ¹ VRVis Research Center in Vienna, Austria , ² Guy’s & St Thomas’ NHS Foundation Trust, United Kingdom , ³ King’s College London and Guy’s & St. Thomas’ NHS Foundation Trust, United Kingdom

Digital Object Identifier: 10.5220/0003844506480659

Proceedings of IVAPP 2012/VISIGRAPP, ISBN: 978-989-8565-02-0

Quick Abstract

In this paper we present a case study of interactive visual analysis and exploration of a large ICU data set. The data consists of patients’ records containing scalar data representing various patients’ parameters (e.g. gender, age, weight), and time series data describing logged parameters over time (e.g. heart rate, blood pressure). Due to the size and complexity of the data, coupled with limited time and resources, such ICU data is often not utilized to its full potential, although its analysis could contribute to a better understanding of physiological, pathological and therapeutic processes, and consequently lead to an improvement of medical care. During the exploration of this data we identified several analysis tasks and adapted and improved a coordinated multiple views system accordingly. Besides a curve view which also supports time series with gaps, we introduced a summary view which allows an easy comparison of subsets of the data and a box plot view in a coordinated multiple views setup. Furthermore, we introduced an inverse brush, a secondary brush which automatically selects non-brushed items, and updates itself accordingly when the original brush is modified. The case study describes how we used the system to analyze data from 1447 patients from the ICU at Guy’s & St. Thomas’ NHS Foundation Trust in London. We were interested in the relationship between serum sodium concentration, its rate of change and their effect on ICU mortality rates. The interactive visual analysis led us to findings which were fascinating for medical experts, and which would be very difficult to discover using conventional analysis methods usually applied in the medical field. The overall feedback from domain experts (coauthors of the paper) is very positive.

Related Ontology Subjects/Areas/Topics (5)

Abstract Data Visualization		General Data Visualization		Visualization Applications
Computer Vision, Visualization and Computer Graphics		Visual Data Analysis and Knowledge Discovery

FAST AND ROBUST LOCALIZATION OF THE HEART IN CARDIAC MRI SERIES - A Cascade of Operations for Automatically Detecting the Heart in Cine MRI Series

Topic: Medical Image Analysis

Authors: Sebastian Zambal , Andreas Schöllhuber , Katja Bühler and Jirí Hladuvka

Affiliation: VRVis Research Center, Austria

Digital Object Identifier: 10.5220/0001074503410346

Proceedings of VISAPP 2008/VISIGRAPP, ISBN: 978-989-8111-21-0

Quick Abstract

This work presents a robust approach for fast initialization of an Active Appearance Model for subsequent segmentation of cardiac MRI data. The method automatically determines AAM initialization parameters: position, orientation, and scaling of the model. Four steps are carried out: (1) variance images over time are calculated to find a bounding box that roughly defines the heart region; (2) circle Hough-transformation adapted to gray values is performed to detect the left ventricle; (3) thresholding is carried out to determine the orientation of the heart; (4) the optimal initialization is selected using a mean texture model. The method was evaluated on 42 MRI short axis studies coming from two MRI scanners of two different vendors. Automatic initializations are compared to manual ones. It is shown that the proposed automatic method is much faster than and achieves results qualitatively equal to manual initialization.

Related Ontology Subjects/Areas/Topics (3)

Computer Vision, Visualization and Computer Graphics

Image and Video Analysis

Medical Image Analysis

INTERACTIVE DEFORMATION AND VISUALIZATION OF LARGE VOLUME DATASETS

Topics: Volume Rendering; Real-Time Visual Simulation; Physics-Based Modeling; Animation of Particle Systems

Authors: Florian Schulze , Katja Bühler and Markus Hadwiger

Affiliation: VRVis Research Center for Virtual Reality and Visualization, Austria

Digital Object Identifier: 10.5220/0002082200390046

Proceedings of GRAPP 2007, ISBN: 978-972-8865-72-6

Quick Abstract

This paper presents an integrated approach for interactive direct volume deformation and simultaneous visualization. The fundamental requirement is that interactive performance without pre-processing must be achieved for large volume data, where at any time up to one million elements participate in a deformation that is applied interactively by picking and dragging in the 3D view. Current physically-based approaches are still one or two orders of magnitude away from this goal. In contrast, our approach extends the non-physical ChainMail algorithm and combines it with on-the-fly resampling and GPU ray-casting. Special transfer functions assign material properties depending on volume density. The affected subvolume is deformed and resampled onto a rectilinear grid on the CPU, and updates the volume on the GPU where it is rendered using ray-casting. While the deformation is already being displayed, its quality is simultaneously refined via an iterative relaxation procedure executed in a parallel thread.

Related Ontology Subjects/Areas/Topics (8)

Animation and Simulation	Geometry and Modeling	Rendering
Animation of Particle Systems	Physics-Based Modeling	Volume Rendering
Computer Vision, Visualization and Computer Graphics	Real-Time Visual Simulation

A FLEXIBLE REAL-TIME FRAMEWORK FOR PRE-CALCULATED GLOBAL ILLUMINATION SOLUTIONS

Topics: Systems and Software Architectures for Rendering; Lighting and Appearance

Authors: Markus Lipp , Stefan Maierhofer and Robert F. Tobler

Affiliation: VRVis Research Center, Austria

Digital Object Identifier: 10.5220/0001358303350341

Proceedings of GRAPP 2006, ISBN: 972-8865-39-2

Quick Abstract

A framework for real-time application of view-independent pre-calculated global-illumination solutions, retaining the ability to adjust the intensity of light-sources after pre-calculation, is described. High dynamic range scenes are fully supported. The framework is highly flexible both in terms of light-source numbers and target hardware: both high-end graphics-cards and older models are supported. Furthermore it is orthogonal to the global-illumination solution method and the chosen tonemapping operator, and therefore easy to implement into existing applications. Implementation details to both minimize memory footprint and maximize performance and flexibility are given. The performance of this framework has been evaluated in the context of an existing CAD application.

Related Ontology Subjects/Areas/Topics (4)

Computer Vision, Visualization and Computer Graphics		Rendering		Systems and Software Architectures for Rendering
Lighting and Appearance

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