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Mesh saliency

Mesh saliency Mesh Saliency Chang Ha Lee Amitabh Varshney David W. Jacobs Department of Computer Science University of Maryland, College Park, MD 20742, USA {chlee, varshney, djacobs}@cs.umd.edu Abstract Research over the last decade has built a solid mathematical foundation for representation and analysis of 3D meshes in graphics and geometric modeling. Much of this work however does not explicitly incorporate models of low-level human visual attention. In this paper we introduce the idea of mesh saliency as a measure of regional importance for graphics meshes. Our notion of saliency is inspired by low-level human visual system cues. We de ne mesh saliency in a scale-dependent manner using a center-surround operator on Gaussian-weighted mean curvatures. We observe that such a de nition of mesh saliency is able to capture what most would classify as visually interesting regions on a mesh. The human-perceptioninspired importance measure computed by our mesh saliency operator results in more visually pleasing results in processing and viewing of 3D meshes, compared to using a purely geometric measure of shape, such as curvature. We discuss how mesh saliency can be incorporated in graphics applications such as mesh simpli cation and viewpoint selection and present examples that show visually appealing http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Mesh saliency

Lee, Chang Ha; Varshney, Amitabh; Jacobs, David W.
Association for Computing Machinery — Jul 31, 2005
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Association for Computing Machinery
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The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
doi
10.1145/1186822.1073244
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Abstract

Mesh Saliency Chang Ha Lee Amitabh Varshney David W. Jacobs Department of Computer Science University of Maryland, College Park, MD 20742, USA {chlee, varshney, djacobs}@cs.umd.edu Abstract Research over the last decade has built a solid mathematical foundation for representation and analysis of 3D meshes in graphics and geometric modeling. Much of this work however does not explicitly incorporate models of low-level human visual attention. In this paper we introduce the idea of mesh saliency as a measure of regional importance for graphics meshes. Our notion of saliency is inspired by low-level human visual system cues. We de ne mesh saliency in a scale-dependent manner using a center-surround operator on Gaussian-weighted mean curvatures. We observe that such a de nition of mesh saliency is able to capture what most would classify as visually interesting regions on a mesh. The human-perceptioninspired importance measure computed by our mesh saliency operator results in more visually pleasing results in processing and viewing of 3D meshes, compared to using a purely geometric measure of shape, such as curvature. We discuss how mesh saliency can be incorporated in graphics applications such as mesh simpli cation and viewpoint selection and present examples that show visually appealing

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