Matches in SemOpenAlex for { <https://semopenalex.org/work/W2035863270> ?p ?o ?g. }
- W2035863270 endingPage "858" @default.
- W2035863270 startingPage "849" @default.
- W2035863270 abstract "Spectrophotometers allow the objective measurement of colour and as a result are rapidly becoming a key piece of equipment in the study of animal colouration; however, they also have some major limitations. For example, they can only record point samples, making it difficult to reconstruct topographical information, and they generally require subjects to be inanimate during measurement. Recently, the use of digital cameras has been explored as an alternative to spectrophotometry. In particular, this allows whole scenes to be captured and objectively converted to animal colour space, providing spatial (and potentially temporal) data that would be unobtainable using spectrophotometry; however, mapping between camera and animal colour spaces requires knowledge of the spectral sensitivity functions of the camera’s sensors. This information is rarely available, and making direct measures of sensor sensitivity can be prohibitively expensive, technically demanding and time-consuming. As a result, various methods have been developed in the engineering and computing sciences that allow sensor sensitivity functions to be estimated using only readily collected data on the camera’s response to a limited number of colour patches of known surface reflectance. Here, I describe the practical application of one such method and demonstrate how it allows the recovery of sensor sensitivities (including in the ultraviolet) with a high enough degree of accuracy to reconstruct whole images in terms of the quantal catches of an animal’s photoreceptors, with calculated values that closely match those determined from spectrophotometric measurements. I discuss the potential for this method to advance our understanding of animal colouration." @default.
- W2035863270 created "2016-06-24" @default.
- W2035863270 creator A5005662913 @default.
- W2035863270 date "2010-11-10" @default.
- W2035863270 modified "2023-10-16" @default.
- W2035863270 title "Using digital cameras to investigate animal colouration: estimating sensor sensitivity functions" @default.
- W2035863270 cites W1606082431 @default.
- W2035863270 cites W1885077476 @default.
- W2035863270 cites W1918290342 @default.
- W2035863270 cites W1941052021 @default.
- W2035863270 cites W1963734685 @default.
- W2035863270 cites W1987721959 @default.
- W2035863270 cites W2014518833 @default.
- W2035863270 cites W2028033258 @default.
- W2035863270 cites W2039520492 @default.
- W2035863270 cites W2039537578 @default.
- W2035863270 cites W2053378394 @default.
- W2035863270 cites W2065176680 @default.
- W2035863270 cites W2077917962 @default.
- W2035863270 cites W2078445963 @default.
- W2035863270 cites W2080998542 @default.
- W2035863270 cites W2081969739 @default.
- W2035863270 cites W2084320007 @default.
- W2035863270 cites W2111891075 @default.
- W2035863270 cites W2116920325 @default.
- W2035863270 cites W2119564425 @default.
- W2035863270 cites W2125732494 @default.
- W2035863270 cites W2126054905 @default.
- W2035863270 cites W2126170323 @default.
- W2035863270 cites W2127389737 @default.
- W2035863270 cites W2129658633 @default.
- W2035863270 cites W2139998496 @default.
- W2035863270 cites W2156082021 @default.
- W2035863270 cites W2157308120 @default.
- W2035863270 cites W2161567976 @default.
- W2035863270 cites W2162227642 @default.
- W2035863270 cites W2314114072 @default.
- W2035863270 cites W4210575411 @default.
- W2035863270 cites W4241454816 @default.
- W2035863270 cites W4248013917 @default.
- W2035863270 cites W4252114991 @default.
- W2035863270 cites W4377996683 @default.
- W2035863270 cites W90923696 @default.
- W2035863270 cites W91970217 @default.
- W2035863270 doi "https://doi.org/10.1007/s00265-010-1097-7" @default.
- W2035863270 hasPublicationYear "2010" @default.
- W2035863270 type Work @default.
- W2035863270 sameAs 2035863270 @default.
- W2035863270 citedByCount "71" @default.
- W2035863270 countsByYear W20358632702012 @default.
- W2035863270 countsByYear W20358632702013 @default.
- W2035863270 countsByYear W20358632702014 @default.
- W2035863270 countsByYear W20358632702015 @default.
- W2035863270 countsByYear W20358632702016 @default.
- W2035863270 countsByYear W20358632702017 @default.
- W2035863270 countsByYear W20358632702018 @default.
- W2035863270 countsByYear W20358632702019 @default.
- W2035863270 countsByYear W20358632702020 @default.
- W2035863270 countsByYear W20358632702021 @default.
- W2035863270 countsByYear W20358632702022 @default.
- W2035863270 countsByYear W20358632702023 @default.
- W2035863270 crossrefType "journal-article" @default.
- W2035863270 hasAuthorship W2035863270A5005662913 @default.
- W2035863270 hasBestOaLocation W20358632702 @default.
- W2035863270 hasConcept C108597893 @default.
- W2035863270 hasConcept C120665830 @default.
- W2035863270 hasConcept C121332964 @default.
- W2035863270 hasConcept C127313418 @default.
- W2035863270 hasConcept C127413603 @default.
- W2035863270 hasConcept C130066347 @default.
- W2035863270 hasConcept C154945302 @default.
- W2035863270 hasConcept C18903297 @default.
- W2035863270 hasConcept C21200559 @default.
- W2035863270 hasConcept C24326235 @default.
- W2035863270 hasConcept C2524010 @default.
- W2035863270 hasConcept C2779705975 @default.
- W2035863270 hasConcept C28719098 @default.
- W2035863270 hasConcept C2992994097 @default.
- W2035863270 hasConcept C31972630 @default.
- W2035863270 hasConcept C33923547 @default.
- W2035863270 hasConcept C41008148 @default.
- W2035863270 hasConcept C60548495 @default.
- W2035863270 hasConcept C6260449 @default.
- W2035863270 hasConcept C62649853 @default.
- W2035863270 hasConcept C76935873 @default.
- W2035863270 hasConcept C86803240 @default.
- W2035863270 hasConceptScore W2035863270C108597893 @default.
- W2035863270 hasConceptScore W2035863270C120665830 @default.
- W2035863270 hasConceptScore W2035863270C121332964 @default.
- W2035863270 hasConceptScore W2035863270C127313418 @default.
- W2035863270 hasConceptScore W2035863270C127413603 @default.
- W2035863270 hasConceptScore W2035863270C130066347 @default.
- W2035863270 hasConceptScore W2035863270C154945302 @default.
- W2035863270 hasConceptScore W2035863270C18903297 @default.
- W2035863270 hasConceptScore W2035863270C21200559 @default.
- W2035863270 hasConceptScore W2035863270C24326235 @default.
- W2035863270 hasConceptScore W2035863270C2524010 @default.
- W2035863270 hasConceptScore W2035863270C2779705975 @default.