14 research outputs found

    Computational field visualization

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    ManuscriptToday, scientists, engineers, and medical researchers routinely use computers to simulate complex physical phenomena. Such simulations present new challenges for computational scientists, including the need to effectively analyze and visualize complex three-dimensional data. As simulations become more complex and produce larger amounts of data, the effectiveness of utilizing such high resolution data will hinge upon the ability of human experts to interact with their data and extract useful information. Here we describe recent work at the SCI Institute in large-scale scalar, vector, and tensor visualization techniques. We end with a discussion of ideas for the integration of techniques for creating computational multi-field visualizations

    Prototype system for synergistic data display

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    Journal ArticleMultimodal interfaces have been shown to increase user performance for a variety of tasks. We have been investigating the synergistic benefits of haptic scientific visualization using an integrated, semi-immersive virtual environment. The Visual Haptic Workbench provides multimodal interaction; immersion is enhanced by head and hand tracking, haptic feedback, and additional audio cues. We present the motivation, design and implementation of the prototype system and describe some challenges ahead in the context of questions to be answered. Preliminary results indicate that visualization combined with haptic rendering intuitively conveys the salient characteristics of scientific data

    22 The Visual Haptic Workbench

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    Haptic feedback is a promising interaction modality for a variety of applications. Successful examples include robot teleoperation [57], virtua

    Importance Driven Texture Coordinate Optimization

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    Traditionally, texture coordinates have been generated based solely on the model's geometry, often even before a model's textures have been created. With the arrival of new technologies, such as 3D paint programs, weaknesses of a static optimization pre-process are becoming apparent. These weaknesses arise from constructing a parameterization based solely on the model's geometry, ignoring the fact that detail is not uniformly spaced throughout the texture space. In fact, certain regions of the texture are more important than other regions. In this paper we introduce the notion of the "importance map" and describe how importance values are derived from both intrinsic properties of the texture and user-guided highlights. Furthermore, we describe how importance maps are used to drive the texture coordinate optimization. Finally, we show how this optimization process can be integrated into a 3D painting environment, enabling periodic optimization at any stage of texture design. Ad..
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