Affiliation:
1. University of Maryland
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.
Funder
Division of Information and Intelligent Systems
Division of Computing and Communication Foundations
Division of Computer and Network Systems
Army Research Office
Division of Civil, Mechanical and Manufacturing Innovation
Publisher
Association for Computing Machinery (ACM)
Subject
Experimental and Cognitive Psychology,General Computer Science,Theoretical Computer Science
Reference25 articles.
1. Sensitivity to Three-Dimensional Orientation in Visual Search
2. Feixas M. Sbert M. and Gonzalez F. 2008. A unified information-theoretic framework for viewpoint selection and mesh saliency. ACM Trans. Appl. Percept. 10.1145/1462055.1462056 Feixas M. Sbert M. and Gonzalez F. 2008. A unified information-theoretic framework for viewpoint selection and mesh saliency. ACM Trans. Appl. Percept. 10.1145/1462055.1462056
3. Salient geometric features for partial shape matching and similarity
4. A novel cubic-order algorithm for approximating principal direction vectors
Cited by
59 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献