Deep Facial Features for Analysing Artistic Depictions - A Case Study in Evaluating 16th and 17th Century Old Master Portraits-Reference-Cited by-同舟云学术

Deep Facial Features for Analysing Artistic Depictions - A Case Study in Evaluating 16th and 17th Century Old Master Portraits

Published:2022-12-02 Issue: Volume: Page:
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Container-title:2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)
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Author:

Ugail Hassan¹,Edwards Howell²,Benoy Timothy³,Brooke Christopher⁴

Affiliation:

1. Centre for Visual Computing, University of Bradford,Faculty of Engineering and Informatics,Bradford,United Kingdom

2. School of Chemistry and Biosciences, University of Bradford,Faculty of Life Sciences,Bradford,United Kingdom

3. The de Brécy Trust, De Brécy House,Norfork,United Kingdom

4. University of Nottingham,Department of History,Nottingham,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10029388/10029397/10029439.pdf?arnumber=10029439

Reference12 articles.

1. Generative Adversarial Nets;goodfellow;Advances in Neural Information Processing Systems 27 (NIPS 2014),2014

2. Towards Automated Classification of Fine-Art Painting Style: A Comparative Study;arora;Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012),0

3. The de Brécy Madonna and Child tondo painting: a Raman spectroscopic analysis

4. A Closer Look: Deceptions and Discoveries;wieseman;National Gallery London,2010

5. A deep artificial neural network architecture for mesh free solutions of nonlinear boundary value problems

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