Computational and experimental approaches to visual aesthetics
A Brachmann, C Redies - Frontiers in computational neuroscience, 2017 - frontiersin.org
Aesthetics has been the subject of long-standing debates by philosophers and
psychologists alike. In psychology, it is generally agreed that aesthetic experience results …
psychologists alike. In psychology, it is generally agreed that aesthetic experience results …
Comparing the effectiveness of hyperspectral imaging and Raman spectroscopy: a case study on Armenian manuscripts
There is great practical and scholarly interest in the identification of pigments in works of art.
This paper compares the effectiveness of the widely used Raman Spectroscopy (RS), with …
This paper compares the effectiveness of the widely used Raman Spectroscopy (RS), with …
Identification and visualization of pure and mixed paint pigments in heritage artwork using machine learning algorithms
A Chen, R Jesus, M Vilarigues - SN Computer Science, 2022 - Springer
This paper reports the implementation of machine learning techniques in the identification of
pure and mixed pigments applying spectral data obtained from both the paint tubes used …
pure and mixed pigments applying spectral data obtained from both the paint tubes used …
[Retracted] Subdivision of Artistic Objectives of Oil Painting Creation under the Evaluation of Deep Learning Model
M Wu - Journal of Sensors, 2022 - Wiley Online Library
In order to fully segment and classify the artistic objectives of painting and realise the needs
of automatic classification and retrieval of painting by computer, this paper proposes to …
of automatic classification and retrieval of painting by computer, this paper proposes to …
Convolutional neural network-based pure paint pigment identification using hyperspectral images
A Chen, R Jesus, M Vilarigues - … of the 3rd ACM International Conference …, 2021 - dl.acm.org
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 …
the identification of pure pigments of heritage artwork, namely paintings. Our paper applies …
Hyperspectral image reconstruction of heritage artwork using RGB images and deep neural networks
A Chen, R Jesus, MÁR Vilarigues - Proceedings of the 19th International …, 2022 - dl.acm.org
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 …
data from a particular artist or physical access for its acquisition is restricted. This poses a …
Interpretation through digital imaging: reflectance transformation imaging (RTI) as a tool for understanding paintings
J Min, E Yoo, H Choi, S Ahn, J Ahn… - International Journal of …, 2020 - koreascience.kr
Abstract This paper presents Reflectance Transformation Imaging (RTI) as a tool to support
the study of paintings and authentication. Manufacturing techniques of the artist are …
the study of paintings and authentication. Manufacturing techniques of the artist are …
Authentication of art: assessing the performance of a machine learning based authentication method
A Chen, R Jesus, M Vilarigues - … Design, Learning, and Innovation: 8th EAI …, 2020 - Springer
This paper compares the test results generated by applying the method for the
authentication of paintings by Portuguese artist Amadeo de Souza Cardoso in the interest of …
authentication of paintings by Portuguese artist Amadeo de Souza Cardoso in the interest of …
Identification of Pure Painting Pigment Using Machine Learning Algorithms
A Chen, R Jesus, M Vilarigues - Artificial Intelligence in Music, Sound, Art …, 2021 - Springer
This paper reports the implementation of machine learning techniques in the identification of
pure painting pigments applying spectral data obtained from both the paint tubes used and …
pure painting pigments applying spectral data obtained from both the paint tubes used and …
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A Castañeda¹, P Fraigniaud, A Paz… - … , SIROCCO 2019, L' …, 2019 - books.google.com
More than two decades ago, combinatorial topology was shown to be useful for analyzing
distributed fault-tolerant algorithms in shared memory systems and in message passing …
distributed fault-tolerant algorithms in shared memory systems and in message passing …