Color constancy using CNNs

@article{Bianco2015ColorCU,
  title={Color constancy using CNNs},
  author={S. Bianco and C. Cusano and R. Schettini},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2015},
  pages={81-89}
}
  • S. Bianco, C. Cusano, R. Schettini
  • Published 2015
  • Computer Science
  • 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • In this work we describe a Convolutional Neural Network (CNN) to accurately predict the scene illumination. Taking image patches as input, the CNN works in the spatial domain without using hand-crafted features that are employed by most previous methods. The network consists of one convolutional layer with max pooling, one fully connected layer and three output nodes. Within the network structure, feature learning and regression are integrated into one optimization process, which leads to a… CONTINUE READING
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