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ResearchPaper zugänglich unter
URN: urn:nbn:de:bvb:29-opus-13917
URL: http://www.opus.ub.uni-erlangen.de/opus/volltexte/2009/1391/


Illuminant Estimation by Voting

Riess, Christian ; Eibenberger, Eva ; Angelopoulou, Elli

pdf-Format:
Dokument 1.pdf (11.347 KB)


SWD-Schlagwörter: Globale Beleuchtung , color
Freie Schlagwörter (Deutsch): Beleuchtungsschätzung, Glanzlicht, physik-basiert
Freie Schlagwörter (Englisch): illumination , color, estiimation , physics-based , natural images
Fakultät: Technische Fakultät
DDC-Sachgruppe: Informatik
Dokumentart: ResearchPaper
Sprache: Englisch
Erstellungsjahr: 2009
Publikationsdatum: 27.07.2009
Kurzfassung in Englisch: Obtaining an estimate of the illuminant color is an important component in many image analysis applications. Due to the complexity of the problem many
estrictive assumptions are commonly applied, making the existing illuminant estimation methodologies not widely applicable on natural images. We propose a methodology which analyzes a large number of regions in an image. An illuminant estimate is obtained independently from each region and a global illumination color is computed by consensus.
Each region itself is mainly composed by pixels which simultaneously
exhibit both diffuse and specular reflection. This allows for a larger inclusion
of pixels than purely specularity-based methods, while avoiding, at the same time,
some of the restrictive assumptions of purely diffuse-based approaches.
As such, our technique is particularly well-suited for analyzing real-world images.
On natural images, the algorithm is very stable

and provides qualitatively correct estimates.


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Letzte Änderung: 01.11.10