Light Source Detection in Photographs

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dc.contributor.authorLopez-Moreno, Jorgeen_US
dc.contributor.authorHadap, Sunilen_US
dc.contributor.authorReinhard, Eriken_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.editorCarlos Andujar and Javier Lluchen_US
dc.date.accessioned2014-01-27T08:16:20Z
dc.date.available2014-01-27T08:16:20Z
dc.date.issued2009en_US
dc.description.abstractCommon tasks related to image processing or augmented reality include rendering new objects into existing images, or matching objects with unknown illumination. To facilitate such algorithms, it is often necessary to infer from which directions a scene was illuminated, even if only a photograph is available. For this purpose, we present a novel light source detection algorithm that, contrary to the current state-of-the-art, is able to detect multiple light sources with sufficient accuracy. 3D measures are not required, only the input image and a very small amount of unskilled user interaction.en_US
dc.description.seriesinformationCEIG 09 - Congreso Espanol de Informatica Graficaen_US
dc.identifier.isbn978-3-905673-72-2en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/CEIG/CEIG09/161-167en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Computing Methodologies [I.3.7]: Computer Graphics - 3D Graphics; Computing Methodologies [I.4.10]: Image Processing and Computer Vision - Image Representationen_US
dc.titleLight Source Detection in Photographsen_US
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