Hodge, Victoria Jane orcid.org/0000-0002-2469-0224, Eakins, John and Austin, Jim orcid.org/0000-0001-5762-8614 (2006) Eliciting Perceptual Ground Truth for Image Segmentation. UNSPECIFIED, Department of Computer Science, University of York, UK.
Abstract
In this paper, we investigate human visual perception and establish a body of ground truth data elicited from human visual studies. We aim to build on the formative work of Ren, Eakins and Briggs who produced an initial ground truth database. Human subjects were asked to draw and rank their perceptions of the parts of a series of figurative images. These rankings were then used to score the perceptions, identify the preferred human breakdowns and thus allow us to induce perceptual rules for human decomposition of figurative images. The results suggest that the human breakdowns follow well-known perceptual principles in particular the Gestalt laws.
Metadata
Item Type: | Other |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 13 Jul 2016 09:07 |
Last Modified: | 22 Dec 2024 00:06 |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:89518 |