Neural Modeling of Flow Rendering Effectiveness
Abstract
It has been previously proposed that understanding the mechanisms of contour perception can provide a theory for why some flow rendering methods allow for better judgments of advection pathways than others. In the present paper we develop this theory through a numerical model of the primary visual cortex of the brain (Visual Area 1) where contour enhancement is understood to occur according to most neurological theories. We apply a two-stage model of contour perception to various visual representations of flow fields evaluated by Laidlaw et al [2001]. In the first stage, contour enhancement is modeled based on Li’s [1998] cortical model. In the second stage, a model of contour integration is proposed designed to support the task of advection path tracing. The model yields insights into the relative strengths of different flow visualization methods for the task of visualizing advection pathways.
Department
Center for Coastal and Ocean Mapping
Publication Date
8-9-2008
Journal Title
Symposium on Applied Perception in Graphics and Visualization
Pages
171-178
Conference Date
Aug 9 - Aug 10, 2008
Publisher Place
Los Angeles, CA, USA
Publisher
Association for Computing Machinery (ACM)
Digital Object Identifier (DOI)
10.1145/1394281.1394313
Document Type
Conference Proceeding
Recommended Citation
D. Pineo and C. Ware, "Neural modeling of flow rendering effectiveness," in Proceedings of the 5th symposium on Applied perception in graphics and visualization - APGV ’08, Association for Computing Machinery (ACM), 2008.