Testing the accuracy of luminance maps acquired by smart phone cameras

Garcia-Hansen, V., Cowley, M. J., Isoardi, G. and Smith, S. S. (2013). Testing the accuracy of luminance maps acquired by smart phone cameras. In: Proceedings of the CIE Centenary Conference "Towards a New Century of Light". CIE Centenary Conference on Towards a New Century of Light, Paris, France, (951-955). 15-16 April 2013.

Author Garcia-Hansen, V.
Cowley, M. J.
Isoardi, G.
Smith, S. S.
Title of paper Testing the accuracy of luminance maps acquired by smart phone cameras
Conference name CIE Centenary Conference on Towards a New Century of Light
Conference location Paris, France
Conference dates 15-16 April 2013
Proceedings title Proceedings of the CIE Centenary Conference "Towards a New Century of Light"
Journal name Proceedings of the Cie Centenary Conference Towards a New Century of Light
Place of Publication Paris, France
Publisher Commission Internationale l’Eclairage
Publication Year 2013
Year available 2013
Sub-type Fully published paper
Open Access Status Not yet assessed
ISBN 978-3-902842-44-2
Start page 951
End page 955
Total pages 5
Language eng
Abstract/Summary This paper looks at the accuracy of using the built-in camera of smart phones and free software as an economical way to quantify and analyse light exposure by producing luminance maps from High Dynamic Range (HDR) images. HDR images were captured with an Apple iPhone 4S to capture a wide variation of luminance within an indoor and outdoor scene. The HDR images were then processed using Photosphere software (Ward, 2010.) to produce luminance maps, where individual pixel values were compared with calibrated luminance meter readings. This comparison has shown an average luminance error of similar to 8% between the HDR image pixel values and luminance meter readings, when the range of luminances in the image is limited to approximately 1,500cd/m(2).
Formatted Abstract/Summary
This paper looks at the accuracy of using the built-in camera of smart phones and free software as an economical way to quantify and analyse light exposure by producing luminance maps from High Dynamic Range (HDR) images. HDR images were captured with an Apple iPhone 4S to capture a wide variation of luminance within an indoor and outdoor scene. The HDR images were then processed using Photosphere software (Ward, 2010.) to produce luminance maps, where individual pixel values were compared with calibrated luminance meter readings. This comparison has shown an average luminance error of ~8% between the HDR image pixel values and luminance meter readings, when the range of luminances in the image is limited to approximately 1,500cd/m2.
Keyword HDR
Smart phone
Luminance mapping
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Conference Paper
Sub-type: Proceedings of the Cie Centenary Conference Towards a New Century of Light
Collection: Institute for Molecular Bioscience - Publications
 
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