Quantifying camouflage: how to predict detectability from appearance
about
The current and future state of animal coloration research.A computer vision for animal ecology.Improvement of individual camouflage through background choice in ground-nesting birds.Testing the feasibility of the startle-first route to deimatismCamouflage strategies interfere differently with observer search images
P2860
Quantifying camouflage: how to predict detectability from appearance
description
2017 nî lūn-bûn
@nan
2017 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
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Quantifying camouflage: how to predict detectability from appearance
@ast
Quantifying camouflage: how to predict detectability from appearance
@en
Quantifying camouflage: how to predict detectability from appearance
@nl
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label
Quantifying camouflage: how to predict detectability from appearance
@ast
Quantifying camouflage: how to predict detectability from appearance
@en
Quantifying camouflage: how to predict detectability from appearance
@nl
prefLabel
Quantifying camouflage: how to predict detectability from appearance
@ast
Quantifying camouflage: how to predict detectability from appearance
@en
Quantifying camouflage: how to predict detectability from appearance
@nl
P2860
P1476
Quantifying camouflage: how to predict detectability from appearance
@en
P2093
John Skelhorn
P2860
P2888
P356
10.1186/S12862-016-0854-2
P407
P577
2017-01-06T00:00:00Z
P6179
1037348107