Quantitative Analysis of Saliency Models
May 31, 2016 Β· Declared Dead Β· π SIGGRAPH Asia Technical Briefs
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Authors
Flora Ponjou Tasse, JiΕΓ Kosinka, Neil Anthony Dodgson
arXiv ID
1605.09451
Category
cs.GR: Graphics
Cross-listed
cs.CV
Citations
14
Venue
SIGGRAPH Asia Technical Briefs
Last Checked
5 months ago
Abstract
Previous saliency detection research required the reader to evaluate performance qualitatively, based on renderings of saliency maps on a few shapes. This qualitative approach meant it was unclear which saliency models were better, or how well they compared to human perception. This paper provides a quantitative evaluation framework that addresses this issue. In the first quantitative analysis of 3D computational saliency models, we evaluate four computational saliency models and two baseline models against ground-truth saliency collected in previous work.
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