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Features combination for art authentication studies: brushstroke and materials analysis of Amadeo de Souza-Cardoso

Publication . Montagner, Cristina; Jesus, Rui; Correia, Nuno; Vilarigues, Márcia; Macedo, Rita; Melo, Maria João

This work presents a tool to support authentication studies of paintings attributed to the modernist Portuguese artist Amadeo de Souza-Cardoso (1887-1918). The strategy adopted was to quantify and combine the information extracted from the analysis of the brushstroke with information on the pigments present in the paintings. The brushstroke analysis was performed combining Gabor filter and Scale Invariant Feature Transform. Hyperspectral imaging and elemental analysis were used to compare the materials in the painting with those present in a database of oil paint tubes used by the artist. The outputs of the tool are a quantitative indicator for authenticity, and a mapping image that indicates the areas where materials not coherent with Amadeo's palette were detected, if any. This output is a simple and effective way of assessing the results of the system. The method was tested in twelve paintings obtaining promising results.

2016-04Journal article

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Unveiling the hand of a 19th century artist with binary image classification and bag-of-features

Publication . Montagner, Cristina; Jesus, Rui; Correia, Nuno; Melo, Maria J.; Villarigues, Marcia; Macedo, Rita; Freitas, Helena de

The shape, orientation and distribution of brushstrokes are distinctive markers left by the artist on the surface of a painting. Consequently, they are useful as additional evidence to decide on issues of attribution and authenticity. This paper proposes an image classification algorithm for the paintings of Amadeo de Souza-Cardoso, a modern Portuguese artist who is at the top of the Portuguese police’s list of forged artists. The proposed system is based on a binary classification using bag-of-features (SIFT descriptors and a Gabor filter) for image representation. Experimental results using the algorithm show that the classification of the paintings by extracting brushstroke information is very promising.

2012-06-01Conference object

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