Future Gener Comput Syst

Global, geometric, and feature-based techniques for vector field visualization

Frits H. Post, W.C. de Leeuw, Ari Sadarjoen, Freek Reinders, and Theo van Walsum

Vector field visualization techniques are subdivided into three categories: global, ge-ometric, and feature-based techniques. We describe each category, and we present some related work and an example in each category from our own recent research. Spot Noise is a texture synthesis technique for global visualization of vector fields on 2D surfaces. Deformable surfaces is a generic technique for extraction and visu-alization of geometric objects (surfaces or volumes) in 3D data fields. Selective and iconic visualization is an approach that extracts important regions or structures from large data sets, calculates high-level attributes, and visualizes the features using parameterized iconic objects. It is argued that for vector fields a range of visualization techniques are needed to fulfill the needs of the application.


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Citation

Frits H. Post, W.C. de Leeuw, Ari Sadarjoen, Freek Reinders, and Theo van Walsum, Global, geometric, and feature-based techniques for vector field visualization, Future Gener Comput Syst, 15, pp. 87–98, 1999.

BibTex

@article{bib:post:1999,
    author       = { Post, Frits H. and de Leeuw, W.C. and Sadarjoen, Ari and Reinders, Freek and van Walsum, Theo },    
    title        = { Global, geometric, and feature-based techniques for vector field visualization },
    journal      = { Future Gener Comput Syst },
    volume       = { 15 },
    year         = { 1999 },
    pages        = { 87--98 },
    note         = { 87--98 },
    doi          = { 10.1016/S0167-739X(98)00050-8 },
    dblp         = { journals/fgcs/PostLSRW99 },
    url          = { https://publications.graphics.tudelft.nl/papers/661 },
}