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  Estimation of the Horizon in Photographed Outdoor Scenes by Human and Machine

Herdtweck, C., & Wallraven, C. (2013). Estimation of the Horizon in Photographed Outdoor Scenes by Human and Machine. PLoS One, 8: 12, pp. 1-14. doi:10.1371/journal.pone.0081462.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-001A-1237-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-1D41-4
Genre: Journal Article

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Herdtweck, C1, 2, 3, Author              
Wallraven, C, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528702              

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 Abstract: 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 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.

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 Dates: 2013-12
 Publication Status: Published online
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 Rev. Method: -
 Identifiers: DOI: 10.1371/journal.pone.0081462
eDoc: e81462
BibTex Citekey: WallravenH2013
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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 8 Sequence Number: 12 Start / End Page: 1 - 14 Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850