By Charles D. Hansen, Chris R. Johnson
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Extra resources for Visualization Handbook
Scalar visualization techniques are deceptively powerful. Color mapping and isocontour generation are the predominant methods used in scientific visualization. Scalar visualization techniques are easily adapted to a variety of situations through creation of a relationship that transforms data at a point into a scalar value. Other examples of scalar mapping include an index value into a list of data, computing vector magnitude or matrix determinant, evaluating surface curvature, or determining distance between points.
Schroeder. 3D phase contrast MRI of cerebral blood flow and surface anatomy. J. Computer Assisted Tomography, 17(2):173–177, 1993. S. D. Conte and C. de Boor. Elementary Numerical Analysis. New York, McGraw-Hill, 1972. Data Explorer Reference Manual. IBM Corp, Armonk, NY, 1991. W. C. de Leeuw and J. J. van Wijk. A probe for local flow field visualization. In Proceedings of Visualization ’93, pages 39–45, IEEE Computer Society Press, Los Alamitos, CA, 1993. T. Delmarcelle and L. Hesselink. A unified framework for flow visualization.
Local icons represent elementary information plus a local distribution of the values around the spatial domain. A surface normal vector colored by local curvature is one example of a local icon, because local data beyond the elementary information is encoded. Global icons show the structure of the complete dataset. An isosurface is an example of a global icon. 30 Glyphs indicate surface normals on a model of a human face. Glyph positions are randomly selected. , marching cubes) to generate cut surfaces.
Visualization Handbook by Charles D. Hansen, Chris R. Johnson