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Convolutional neural network-based pure paint pigment identification using hype...

Chen, Ailin; Jesus, Rui; Vilarigues

This research presents the results of the implementation of deep learning neural networks in the identification of pure pigments of heritage artwork, namely paintings. Our paper applies an inno vative three-branch deep learning model to maximise the correct identification of pure pigments. The model proposed combines the feature maps obtained from hyperspectral images through multi ple convolutional neural netw...


Hyperspectral image reconstruction of heritage artwork using RGB images and dee...

Chen, Ailin; Jesus, Rui; Vilarigues, M.

The application of our research is in the art world where the scarcity of available analytical data from a particular artist or physical access for its acquisition is restricted. This poses a fundamental problem for the purpose of conservation, restoration or authentication of historical artworks. We address part of this problem by providing a practical method to generate hyperspectral data from readily availab...


Authentication of Amadeo de Souza-Cardoso Paintings and Drawings With Deep Lear...

Chen, Ailin

Art forgery has a long-standing history that can be traced back to the Roman period and has become more rampant as the art market continues prospering. Reports disclosed that uncountable artworks circulating on the art market could be fake. Even some principal art museums and galleries could be exhibiting a good percentage of fake artworks. It is therefore substantially important to conserve cultural heritage, ...


Authentication of Art: assessing the performance of a machine learning based au...

Chen, Ailin; Jesus, Rui; Vilarigues, Márcia

This paper compares the test results generated by applying the method for the authentication of paintings by Portuguese artist Amadeo de Souza Car-doso in the interest of exploring the generalisation properties of the algorithm on other artists or genres. This sets the base for the method to be improved and de-veloped accordingly in future applications for a broader audience in a wider set-ting. The obtained re...


Using deep learning techniques for authentication of Amadeo de Souza Cardoso pa...

Chen, Ailin; Jesus, Rui; Villarigues, Márcia

This paper investigates the application of a Convolutional Neural Network (CNN), AlexNet, on the authentication of paintings by different artists, including Portuguese painter Amadeo de Souza Cardoso, Chinese painter Daqian Zhang and Dutch painter Vincent van Gogh. The research is motivated by the studies on the identification of the works by Amadeo based on the painter’s brushstroke implementing Machine Learni...


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