The Community for Technology Leaders
Green Image
Issue No. 12 - Dec. (2011 vol. 17)
ISSN: 1077-2626
pp: 2035-2044
Dilip Mathew Thomas , Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India
Vijay Natarajan , Department of Computer Science and Automation, Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India
Study of symmetric or repeating patterns in scalar fields is important in scientific data analysis because it gives deep insights into the properties of the underlying phenomenon. Though geometric symmetry has been well studied within areas like shape processing, identifying symmetry in scalar fields has remained largely unexplored due to the high computational cost of the associated algorithms. We propose a computationally efficient algorithm for detecting symmetric patterns in a scalar field distribution by analysing the topology of level sets of the scalar field. Our algorithm computes the contour tree of a given scalar field and identifies subtrees that are similar. We define a robust similarity measure for comparing subtrees of the contour tree and use it to group similar subtrees together. Regions of the domain corresponding to subtrees that belong to a common group are extracted and reported to be symmetric. Identifying symmetry in scalar fields finds applications in visualization, data exploration, and feature detection. We describe two applications in detail: symmetry-aware transfer function design and symmetry-aware isosurface extraction.
Scalar field symmetry, contour tree, similarity measure, persistence, isosurface extraction, transfer function design.

D. M. Thomas and V. Natarajan, "Symmetry in Scalar Field Topology," in IEEE Transactions on Visualization & Computer Graphics, vol. 17, no. , pp. 2035-2044, 2011.
86 ms
(Ver 3.3 (11022016))