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Marking menus for eyes-free interaction using smart phones and tablets

Marking menus for eyes-free interaction using smart phones a...

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IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability, and Security in Information Systems and HCI, CD-ARES 2013

作者： Bauer, Jens Ebert, Achim Kreylos, Oliver Hamann, Bernd Computer Graphics HCI Lab. TU Kaiserslautern 67663 Kaiserslautern Germany Institute for Data Analysis and Visualization Department of Computer Science University of California Davis CA 95616 United States

ISBN: (纸本)9783642405105

Large displays are helpful tools for knowledge discovery applications. The increased screen real estate allows for more data to be shown at once. In some cases using virtual reality visualizations helps in creating more useful visualizations. In such settings, traditional input devices are not well-suited. They also do not scale well to multiple users, effectively limiting collaborative knowledge discovery scenarios. Smart phones and tablet computers are becoming increasingly ubiquitous and powerful, even having multi-core CPUs and dedicated Graphic Processing Units (GPUs). Given their built-in sensors they can serve as replacements for currently-used input devices, and provide novel functionality not achieved with traditional devices. Furthermore, their ubiquity ensures that they scale well to multi-user environments, where users can use their own devices. We present an application-independent way to integrate smart phones and tablets into knowledge discovery applications as input devices with additional functionality. This approach is based on Marking Menus, but extends the basic idea by employing the special capabilities of current consumer-level smart phones and tablets. © 2013 IFIP International Federation for Information Processing.

关键词： Smartphones

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Scalable load balancing for massively parallel distributed Monte Carlo particle transport

Scalable load balancing for massively parallel distributed M...

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International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2013

作者： O'Brien, Matthew J. Brantley, Patrick S. Joy, Kenneth I. Lawrence Livermore National Laboratory 7000 East Avenue Livermore CA 94550 United States Institute for Data Analysis and Visualization Computer Science Department University of California One Shields Avenue Davis CA 95616 United States

ISBN: (纸本)9781627486439

In order to run computer simulations efficiently on massively parallel computers with hundreds of thousands or millions of processors, care must be taken that the calculation is load balanced across the processors. Examining the workload of every processor leads to an unscalable algorithm, with run time at least as large as O(N), where N is the number of processors. We present a scalable load balancing algorithm, with run time 0(log(N)), that involves iterated processor-pair-wise balancing steps, ultimately leading to a globally balanced workload. We demonstrate scalability of the algorithm up to 2 million processors on the Sequoia supercomputer at Lawrence Livermore National Laboratory.

关键词： Scalability

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On-Line Reconstruction of CAD Geometry

On-Line Reconstruction of CAD Geometry

引用

International Conference on 3D Imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)

作者： Klaus Denker Daniel Hagel Jakob Raible Georg Umlauf Bernd Hamann Computer Graphics Laboratory Department of Computer Science Konstanz University of Applied Sciences Konstanz Germany Institute for Data Analysis and Visualization Department of Computer Science University of California Davis CA USA

In reverse engineering and computer-aided design (CAD) applications point cloud data is usually manually scanned, reconstructed, and post-processed in separated steps. When point cloud data resulting from a scanning process do not satisfy certain necessary reconstruction requirements, one must perform scanning again to enable proper reconstruction. On-line reconstruction of 3d geometry allows one to generate and update a CAD reconstruction on-line during the scanning process with an hand-held laser scanner. Thus, regions where the scanned data is insufficient for the reconstruction are detected on the fly to allow an immediate correction and improvement of the scanned data. This enables the operator to focus on critical regions in the scanned data to improve the reconstruction quality. We present an on-line segmentation and on-line reconstruction of basic geometric primitives. The presented methods allow for a real-time processing of a point stream. They utilize data structures that can be updated at any time when additional data from the stream has to be processed. This data is used to complete and improve the segmentation and reconstruction during the scanning process.

关键词： Surface reconstruction Geometry Image reconstruction Shape Lasers Design automation Image segmentation

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Virtual reality supported visualization and evaluation of noise levels in manufacturing environments

Virtual reality supported visualization and evaluation of no...

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International Research and Training Group 1131 Workshop on visualization of Large and Unstructured data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Yang, Xiang Hamann, Bernd Aurich, Jan C. University of Kaiserslautern Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States

ISBN: (纸本)9783939897460

Virtual Reality (VR) provides users advanced visualization and interaction technology for designing, analyzing and exploring complex data. To address the issue of noise in manufacturing environments, we developed a VR-supported method allowing users to explore noise behavior. This method consists of an implementation of acoustic simulation and visualization for both desktop and Cave Automatic Virtual Environment (CAVE) based VR systems. It enables useroriented, interactive analysis of simulated data, where there capability to immerse oneself in the data is especially valuable. In a real-world factory, the acoustic measurements obtained essential input data for simulation settings and validation data for simulation results. Furthermore, some political and legal aspects are addressed to enhance the evaluation of results and the visualization. By using the implemented software tool, users are able to understand and investigate the noise issue in manufacturing straightforwardly.

关键词： visualization

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A survey of dimension reduction methods for high-dimensional data analysis and visualization

A survey of dimension reduction methods for high-dimensional...

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International Research and Training Group 1131 Workshop on visualization of Large and Unstructured data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Engel, Daniel Hüttenberger, Lars Hamann, Bernd Computer Graphics and HCI Group University of Kaiserslautern Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States

ISBN: (纸本)9783939897460

Dimension reduction is commonly defined as the process of mapping high-dimensional data to a lower-dimensional embedding. Applications of dimension reduction include, but are not limited to, filtering, compression, regression, classification, feature analysis, and visualization. We review methods that compute a point-based visual representation of high-dimensional data sets to aid in exploratory data analysis. The aim is not to be exhaustive but to provide an overview of basic approaches, as well as to review select state-of-the-art methods. Our survey paper is an introduction to dimension reduction from a visualization point of view. Subsequently, a comparison of state-of-the-art methods outlines relations and shared research foci.

关键词： visualization

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Spherical terrain rendering using the hierarchical HEALPix grid

Spherical terrain rendering using the hierarchical HEALPix g...

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International Research and Training Group 1131 Workshop on visualization of Large and Unstructured data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Westerteiger, Rolf Gerndt, Andreas Hamann, Bernd Braunschweig Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States Computer Graphics and HCI Group University of Kaiserslautern Germany

ISBN: (纸本)9783939897460

We present an interactive spherical terrain rendering system employing a hierarchical subdivision of the HEALPix coordinate system using quadtrees. Compared to other parameterizations, the scheme avoids singularities and allows for efficient fusion of mixed-resolution digital elevation models and imagery. A Level-of-Detail heuristic is used to guarantee both high performance and visual fidelity. Unified treatment of DEM and imagery data is achieved by performing the HEALPix projection within a GPU shader. The system is applied to the exploration of Mars, using both MOLA (NASA) and HRSC (German Aerospace Center) data sets.

关键词： NASA

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Preface 2nd

Preface

引用

2nd International Workshop on visualization in Medicine and Life Sciences, VMLS 2009

作者： Linsen, Lars Hagen, Hans Hamann, Bernd Hege, Hans-Christian Jacobs University Bremen School of Engineering and Science Postfach 75 05 61 Bremen28725 Germany Universität Kaiserslautern FB Informatik Postfach 30 49 Kaiserslautern67653 Germany Institute for Data Analysis and Visualization Department of Computer Science University of California Davis One Shields Avenue DavisCA95616-8562 United States Visualization and Data Analysis Takustr. 7 Berlin14195 Germany

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Feature-based visualization of dense integral line data

Feature-based visualization of dense integral line data

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International Research and Training Group 1131 Workshop on visualization of Large and Unstructured data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Schröder, Simon Obermaier, Harald Garth, Christoph Joy, Kenneth I. Computer Graphics and HCI Group University of Kaiserslautern Germany Fraunhofer ITWM Kaiserslautern Germany Computational Topology Group University of Kaiserslautern Germany Institute for Data Analysis and Visualization University of California Davis United States

ISBN: (纸本)9783939897460

Feature-based visualization of flow fields has proven as an effective tool for flow analysis. While most flow visualization techniques operate on vector field data, our visualization techniques make use of a different simulation output: Particle Tracers. Our approach solely relies on integral lines that can be easily obtained from most simulation software. The task is the visualization of dense integral line data. We combine existing methods for streamline visualization, i. e. illumination, transparency, and halos, and add ambient occlusion for lines. But, this only solves one part of the problem: because of the high density of lines, visualization has to fight with occlusion, high frequency noise, and overlaps. As a solution we propose non-automated choices of transfer functions on curve properties that help highlighting important flow features like vortices or turbulent areas. These curve properties resemble some of the original flow properties. With the new combination of existing line drawing methods and the addition of ambient occlusion we improve the visualization of lines by adding better shape and depth cues. The intelligent use of transfer functions on curve properties reduces visual clutter and helps focusing on important features while still retaining context, as demonstrated in the examples given in this work.

关键词： Transfer functions

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visualization of scene structure uncertainty in multi-view reconstruction

Visualization of scene structure uncertainty in multi-view r...

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Applied Imagery Pattern Recognition Workshop (AIPR)

作者： Shawn Recker Mauricio Hess-Flores Mark A. Duchaineau Kenneth I. Joy Institute of Data Analysis and Visualization University of California Davis Davis CA USA Google Inc. USA

This paper presents an interactive visualization system, based upon previous work, that allows for the analysis of scene structure uncertainty and its sensitivity to parameters in different multi-view scene reconstruction stages. Given a set of input cameras and feature tracks, the volume rendering-based approach creates a scalar field from reprojection error measurements. The obtained statistical, visual, and isosurface information provides insight into the sensitivity of scene structure at the stages leading up to structure computation, such as frame decimation, feature tracking, and self-calibration. Furthermore, user interaction allows for such an analysis in ways that have traditionally been achieved mathematically, without any visual aid. Results are shown for different types of camera configurations for real and synthetic data as well as compared to prior work.

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Path-based constraints for accurate scene reconstruction from aerial video

Path-based constraints for accurate scene reconstruction fro...

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Applied Imagery Pattern Recognition Workshop (AIPR)

作者： Mauricio Hess-Flores Mark A. Duchaineau Kenneth I. Joy Institute for Data Analysis and Visualization University of California Davis USA Google Inc. USA

This paper discusses the constraints imposed by the path of a moving camera in multi-view sequential scene reconstruction scenarios such as in aerial video, which allow for an efficient detection and correction of inaccuracies in the feature tracking and structure computation processes. The main insight is that for short, planar segments of a continuous camera trajectory, parallax movement corresponding to a viewed scene point should ideally form a scaled and translated version of this trajectory when projected onto a parallel plane. Two inter-camera and intra-camera constraints arise, which create a prediction of where all feature tracks should be located given the consensus information of all accurate tracks and cameras, which allows for the detection and correction of inaccurate feature tracks, as well as a very simple update of scene structure. This procedure differs from classical approaches such as factorization and RANSAC. In both aerial video and turntable sequences, the use of such constraints was proven to correct outlier tracks, detect and correct tracking drift, allow for a simple updating of scene structure, and improve bundle adjustment convergence.

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