Mesh saliency and human eye fixations
Abstract
Mesh saliency has been proposed as a computational model of perceptual importance for meshes, and it has been used in graphics for abstraction, simplification, segmentation, illumination, rendering, and illustration. Even though this technique is inspired by models of low-level human vision, it has not yet been validated with respect to human performance. Here, we present a user study that compares the previous mesh saliency approaches with human eye movements. To quantify the correlation between mesh saliency and fixation locations for 3D rendered images, we introduce the normalized chance-adjusted saliency by improving the previous chance-adjusted saliency measure. Our results show that the current computational model of mesh saliency can model human eye movements significantly better than a purely random model or a curvature-based model.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 01, 2010
- Source ID
- 10.1145/1670671.1670676
Entities
People
- Amitabh Varshney
- David W. Jacobs
- François Guimbretière
- Youngmin Kim
Organizations
- Army Research Office
- Division of Civil, Mechanical & Manufacturing Innovation
- Division of Computer and Network Systems
- Division of Computing and Communication Foundations
- Division of Information and Intelligent Systems
- University of Maryland