Adaptive illuminant estimation using faces

Simone Bianco

(University of Milano-Bicocca, Italy)

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Date: February 7, 2014


This talk will show that it is possible to use skin tones to estimate the illuminant color. In our approach, 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 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. The algorithm automatically switches from global to spatially varying color correction on the basis of the illuminant estimations on the different faces detected in the image. An extensive comparison with both global and local color constancy algorithms is carried out to validate the effectiveness of the proposed algorithm in terms of both statistical and perceptual significance on a large heterogeneous dataset of RAW images containing faces.PROJECT PAGE:

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 Biography:  Simone Bianco obtained the BSc and the MSc degree in Mathematics from the University of Milano-Bicocca, Italy, respectively in 2003 and 2006. He received the PhD in Computer Science at Department of Informatics, Systems and Communication of the University of Milano-Bicocca, Italy, in 2010, where he is currently a post-doc. His research interests include computer vision, optimization algorithms, and color imaging.


Created: Monday, February 10th, 2014