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. © 2012 Springer-Verlag.
Bianco, S., Schettini, R. (2012). Face-based illuminant estimation. In Computer Vision–ECCV 2012. Workshops and Demonstrations, 12th European Conference on Computer Vision, ECCV 2012; Florence; Italy; 7-13 October 2012 (pp.623-626). Springer [10.1007/978-3-642-33885-4_67].
Face-based illuminant estimation
BIANCO, SIMONE;SCHETTINI, RAIMONDO
2012
Abstract
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. © 2012 Springer-Verlag.
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