Adaptive Color Constancy Using Faces

In this work we design an adaptive color constancy algorithm that, exploiting the skin regions found in faces, is able to estimate and correct the scene illumination. 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.

Example images

Datasets

Publications

1.

Adaptive Color Constancy Using Faces
(Simone Bianco, Raimondo Schettini) In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 36, number 8, pp. 1505-1518, 2014.

Download BibTex Doi Project Page 

@article{bianco2014adaptive-color,
 author = {Bianco, Simone and Schettini, Raimondo},
 year = {2014},
 pages = {1505-1518},
 title = {Adaptive Color Constancy Using Faces},
 volume = {36},
 number = {8},
 journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
 pdf = {/download/bianco2014adaptive-color.pdf},
 doi = {10.1109/TPAMI.2013.2297710},
 issn = {0162-8828},
 projectref = {http://www.ivl.disco.unimib.it/research/FaceColorConstancy/}}
2.

Color Constancy Using Faces
(Simone Bianco, Raimondo Schettini) In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 65-72, 2012.

Download BibTex 

@inproceedings{bianco2012color-constancy,
 author = {Bianco, Simone and Schettini, Raimondo},
 year = {2012},
 pages = {65-72},
 title = {Color Constancy Using Faces},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 pdf = {/download/bianco2012color-constancy.pdf}}