Eliciting Perceptual Ground Truth for Image Segmentation
Autor: | Jim Austin, Victoria J. Hodge, John Eakins, Garry Hollier |
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Rok vydání: | 2006 |
Předmět: |
Ground truth
Visual perception Computer science business.industry media_common.quotation_subject Rank (computer programming) Image processing Image segmentation Literal and figurative language Perception Gestalt psychology Artificial intelligence business Image retrieval media_common Cognitive psychology |
Zdroj: | Lecture Notes in Computer Science ISBN: 9783540360186 CIVR ResearcherID |
DOI: | 10.1007/11788034_33 |
Popis: | 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 participants 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. |
Databáze: | OpenAIRE |
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