Estimation of the horizon in photographed outdoor scenes by human and machine.

We present three experiments on horizon estimation. In Experiment 1 we verify the human ability to estimate the horizon in static images from only visual input. Estimates are given without time constraints with emphasis on precision. The resulting estimates are used as baseline to evaluate horizon e...

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Autores principales: Christian Herdtweck, Christian Wallraven
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/660f0b1bc8624b17be74a20223db53c2
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spelling oai:doaj.org-article:660f0b1bc8624b17be74a20223db53c22021-11-18T08:42:18ZEstimation of the horizon in photographed outdoor scenes by human and machine.1932-620310.1371/journal.pone.0081462https://doaj.org/article/660f0b1bc8624b17be74a20223db53c22013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24349073/?tool=EBIhttps://doaj.org/toc/1932-6203We present three experiments on horizon estimation. In Experiment 1 we verify the human ability to estimate the horizon in static images from only visual input. Estimates are given without time constraints with emphasis on precision. The resulting estimates are used as baseline to evaluate horizon estimates from early visual processes. Stimuli are presented for only 153 ms and then masked to purge visual short-term memory and enforcing estimates to rely on early processes, only. The high agreement between estimates and the lack of a training effect shows that enough information about viewpoint is extracted in the first few hundred milliseconds to make accurate horizon estimation possible. In Experiment 3 we investigate several strategies to estimate the horizon in the computer and compare human with machine "behavior" for different image manipulations and image scene types.Christian HerdtweckChristian WallravenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 12, p e81462 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Christian Herdtweck
Christian Wallraven
Estimation of the horizon in photographed outdoor scenes by human and machine.
description We present three experiments on horizon estimation. In Experiment 1 we verify the human ability to estimate the horizon in static images from only visual input. Estimates are given without time constraints with emphasis on precision. The resulting estimates are used as baseline to evaluate horizon estimates from early visual processes. Stimuli are presented for only 153 ms and then masked to purge visual short-term memory and enforcing estimates to rely on early processes, only. The high agreement between estimates and the lack of a training effect shows that enough information about viewpoint is extracted in the first few hundred milliseconds to make accurate horizon estimation possible. In Experiment 3 we investigate several strategies to estimate the horizon in the computer and compare human with machine "behavior" for different image manipulations and image scene types.
format article
author Christian Herdtweck
Christian Wallraven
author_facet Christian Herdtweck
Christian Wallraven
author_sort Christian Herdtweck
title Estimation of the horizon in photographed outdoor scenes by human and machine.
title_short Estimation of the horizon in photographed outdoor scenes by human and machine.
title_full Estimation of the horizon in photographed outdoor scenes by human and machine.
title_fullStr Estimation of the horizon in photographed outdoor scenes by human and machine.
title_full_unstemmed Estimation of the horizon in photographed outdoor scenes by human and machine.
title_sort estimation of the horizon in photographed outdoor scenes by human and machine.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/660f0b1bc8624b17be74a20223db53c2
work_keys_str_mv AT christianherdtweck estimationofthehorizoninphotographedoutdoorscenesbyhumanandmachine
AT christianwallraven estimationofthehorizoninphotographedoutdoorscenesbyhumanandmachine
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