Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Image-guided streamline placement
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
A neural model of contour integration in the primary visual cortex
Neural Computation
Visualizing multivalued data from 2D incompressible flows using concepts from painting
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Quantitative comparative evaluation of 2D vector field visualization methods
Proceedings of the conference on Visualization '01
Virtual Eye: Retinal Image Visualization of the Human Eye
IEEE Computer Graphics and Applications
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Toward a Perceptual Theory of Flow Visualization
IEEE Computer Graphics and Applications
Contour grouping with prior models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural modeling of flow rendering effectiveness
ACM Transactions on Applied Perception (TAP)
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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.