Mesh saliency and human eye fixations

TitleMesh saliency and human eye fixations
Publication TypeJournal Articles
Year of Publication2010
AuthorsKim Y, Varshney A, Jacobs DW, Guimbretière F
JournalACM Transactions on Applied Perception (TAP)
Pagination12:1–12:13 - 12:1–12:13
Date Published2010/02//
ISBN Number1544-3558
Keywordseye-tracker, mesh saliency, Visual perception

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.