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      Toward Discovery of the Artist's Style: Learning to recognize artists by their artworks

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          Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

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            Image processing for artist identification

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              Pigeons' discrimination of paintings by Monet and Picasso.

              Pigeons successfully learned to discriminate color slides of paintings by Monet and Picasso. Following this training, they discriminated novel paintings by Monet and Picasso that had never been presented during the discrimination training. Furthermore, they showed generalization from Monet's to Cezanne's and Renoir's paintings or from Picasso's to Braque's and Matisse's paintings. These results suggest that pigeons' behavior can be controlled by complex visual stimuli in ways that suggest categorization. Upside-down images of Monet's paintings disrupted the discrimination, whereas inverted images of Picasso's did not. This result may indicate that the pigeons' behavior was controlled by objects depicted in impressionists' paintings but was not controlled by objects in cubists' paintings.
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                Author and article information

                Journal
                IEEE Signal Processing Magazine
                IEEE Signal Process. Mag.
                Institute of Electrical and Electronics Engineers (IEEE)
                1053-5888
                July 2015
                July 2015
                : 32
                : 4
                : 46-54
                Article
                10.1109/MSP.2015.2406955
                8be07883-5f93-49a2-ae8d-4e6a313f58ae
                © 2015
                History

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