Image-guided streamline placement on curvilinear grid surfaces

Mao,; Hatanaka,; Higashida,; Imamiya,

doi:10.1109/visual.1998.745295

Cited by 31 publications

(18 citation statements)

References 9 publications

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“…This allows depiction of an accurate vector field structure while reducing the visual clutter of the final images. This work was later generalized to mapping streamlines onto surfaces by Mao et al [17]. Max et al [19] propose enhancing a contour surface with particle and streamline information, and in particular do this in a view-dependent way.…”

Section: Related Workmentioning

confidence: 99%

View-Dependent Streamlines for 3D Vector Fields

Marchesin

Chen

et al. 2010

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. Sample rendering of a plume vector field dataset using our streamline selection technique. Our technique is able to depict the interesting data features in a view-dependent fashion while avoiding self-occlusion from the streamlines, and does not require any user intervention.Abstract-This paper introduces a new streamline placement and selection algorithm for 3D vector fields. Instead of considering the problem as a simple feature search in data space, we base our work on the observation that most streamline fields generate a lot of self-occlusion which prevents proper visualization. In order to avoid this issue, we approach the problem in a view-dependent fashion and dynamically determine a set of streamlines which contributes to data understanding without cluttering the view. Since our technique couples flow characteristic criteria and view-dependent streamline selection we are able achieve the best of both worlds: relevant flow description and intelligible, uncluttered pictures. We detail an efficient GPU implementation of our algorithm, show comprehensive visual results on multiple datasets and compare our method with existing flow depiction techniques. Our results show that our technique greatly improves the readability of streamline visualizations on different datasets without requiring user intervention.

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Section: Related Workmentioning

confidence: 99%

View-Dependent Streamlines for 3D Vector Fields

Marchesin

Chen

et al. 2010

IEEE Trans. Visual. Comput. Graphics

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“…Evenly-spaced streamlines have been used to visualize vector fields [5,15,24,25,28,37,39,41]. Spencer et al [35] improve the efficiency of the streamline placement on surfaces via an imagespace approach.…”

Section: Related Workmentioning

confidence: 99%

Asymmetric Tensor Field Visualization for Surfaces

Chen

Palke

Lin

et al. 2011

IEEE Trans. Visual. Comput. Graphics

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Asymmetric tensor field visualization can provide important insight into fluid flows and solid deformations. Existing techniques for asymmetric tensor fields focus on the analysis, and simply use evenly-spaced hyperstreamlines on surfaces following eigenvectors and dual-eigenvectors in the tensor field. In this paper, we describe a hybrid visualization technique in which hyperstreamlines and elliptical glyphs are used in real and complex domains, respectively. This enables a more faithful representation of flow behaviors inside complex domains. In addition, we encode tensor magnitude, an important quantity in tensor field analysis, using the density of hyperstreamlines and sizes of glyphs. This allows colors to be used to encode other important tensor quantities. To facilitate quick visual exploration of the data from different viewpoints and at different resolutions, we employ an efficient image-space approach in which hyperstreamlines and glyphs are generated quickly in the image plane. The combination of these techniques leads to an efficient tensor field visualization system for domain scientists. We demonstrate the effectiveness of our visualization technique through applications to complex simulated engine fluid flow and earthquake deformation data. Feedback from domain expert scientists, who are also co-authors, is provided.

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“…Visual appeal, uniformity and continuity of the streamlines is superior and serves as the benchmark for our method. Mao et al [12] extend this approach to parametrizable curved surfaces in 3D. For the computation of the local filter size, they make use of the deformation tensor of the parameter space mapping.…”

Section: Contributionsmentioning

confidence: 99%

Dual streamline seeding

Rosanwo

Petz

Prohaska

et al. 2009

2009 IEEE Pacific Visualization Symposium

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This work introduces a novel streamline seeding technique based on dual streamlines that are orthogonal to the vector field, instead of tangential. The greedy algorithm presented here produces a net of orthogonal streamlines that is iteratively refined resulting in good domain coverage and a high degree of continuity and uniformity. The algorithm is easy to implement and efficient, and it naturally extends to curved surfaces.

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Image-guided streamline placement on curvilinear grid surfaces

Cited by 31 publications

References 9 publications

View-Dependent Streamlines for 3D Vector Fields

View-Dependent Streamlines for 3D Vector Fields

Asymmetric Tensor Field Visualization for Surfaces

Dual streamline seeding

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