Efficient software for programmable visual analysis using morse-smale complexes

Shivashankar, Nithin and Natarajan, Vijay (2017) Efficient software for programmable visual analysis using morse-smale complexes. [Book Chapter]

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Abstract

The Morse-Smale complex is a topological data structure that represents the behavior of the gradient of an input scalar field. Recent years have witnessed a significant number of applications that use this data structure for visualization and analysis of data from various scientific domains. However, these applications have required significant expertise in the implementation of algorithms. This potentially makes such analysis inaccessible to a large audience. In this paper we present open source software modules for the computation, analysis, and visualization of scientific data using the Morse-Smale complex. The modules, named pymstri and pyms3d, are intended for domains represented using 2D triangle meshes and 3D structured grids respectively. The software is designed to significantly reduce the effort required to use Morse-Smale complex based analysis. Also, the software leverages modern multi-core CPU and GPU architectures for computational efficiency. We demonstrate the usefulness via a case study to visually analyze and interactively segment the eye of the Hurricane Isabel simulation dataset. In particular, we highlight the ability to couple the visual analysis and the computation with ParaView, a popular general purpose visualization tool. The code is available at the project website http://vgl.csa.iisc.ac.in/mscomplex.

Item Type:	Book Chapter
Series.:	Mathematics and Visualization
Publisher:	Springer Heidelberg
Additional Information:	The Copyright of this article belongs to the Springer
Keywords:	Computational efficiency; Data structures; Data visualization; Open systems; Visualization; Hurricane Isabel; Morse-Smale complex; Scientific data; Structured grid; Topological data structure; Visual analysis; Visualization and analysis; Visualization tools; Open source software
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	27 May 2022 04:32
Last Modified:	27 May 2022 06:19
URI:	https://eprints.iisc.ac.in/id/eprint/72572

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