Abstract | ||
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In this work we show that it is possible to use skin tones to estimate the illuminant color. We use a face detector to find faces in the scene, and the corresponding skin colors to estimate the chromaticity of the illuminant. The method, that has been presented at CVPR 2012 [1] is based on two observations: first, skin colors tend to form a cluster in the color space, making it a cue to estimate the illuminant in the scene; second, many photographic images are portraits or contain people. If no faces are detected, the input image is processed with a low-level illuminant estimation algorithm automatically selected according to [2]. The method will be demonstrated on a public dataset of images in RAW format [3], and on images acquired live during the demo. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1007/978-3-642-33885-4_67 | ECCV Workshops (3) |
Keywords | Field | DocType |
photographic image,corresponding skin color,skin tone,low-level illuminant estimation algorithm,raw format,face-based illuminant estimation,input image,color space,face detector,skin color,illuminant color | Color constancy,Computer vision,Skin Colors,Color space,Pattern recognition,Illuminant D65,Computer science,Chromaticity,Artificial intelligence,Standard illuminant,Detector | Conference |
Volume | ISSN | Citations |
7585 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Simone Bianco | 1 | 226 | 24.48 |
Raimondo Schettini | 2 | 1476 | 154.06 |