Correspondence-based visualization techniques

Michael J. Gerald-Yamasaki

doi:10.1117/12.643097

16 January 2006 Correspondence-based visualization techniques

Michael J. Gerald-Yamasaki

Proceedings Volume 6060, Visualization and Data Analysis 2006; 606014 (2006) https://doi.org/10.1117/12.643097
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

A visual representation model is an abstract pattern used to create images which characterize quantitative information. By using a texture image to define a visual representation model, correspondence of color to denote similarity, and correspondence of image location over multiple images to associate information into collections, highly effective visualization techniques are made possible. One such technique for two-dimensional texture-based vector field visualization is vector field marquetry. Vector field marquetry uses a synthesized image representing direction as a conditioner for pixel replacement over a collection of vector field direction-magnitude portraits. The resulting synthesized image displays easily recognizable local and global features, vector direction, and magnitude. A related technique enabled by correspondence-based methods is the sparse representation of a vector field by a topological skeleton constructed from isodirection lines. Each vector in a vector field along an isodirection line points in the same direction. Isodirection lines subdivide the domain into regions of similar vectors, converge at critical points, and represent global characteristics of the vector field.

Citation Download Citation

Michael J. Gerald-Yamasaki "Correspondence-based visualization techniques", Proc. SPIE 6060, Visualization and Data Analysis 2006, 606014 (16 January 2006); https://doi.org/10.1117/12.643097

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KEYWORDS

Visualization

Visual process modeling

Volume rendering

Data modeling

3D modeling

Image processing

Image display

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