Paper Info
Title
Face-based illuminant estimation
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.
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 Bianco122624.48
Raimondo Schettini21476154.06