Visual analysis and authentication of artworks are challenging tasks central to art history and criticism. This preliminary study presents a computational tool for scholars examining and …
This thesis addresses the problem of pattern and texture recognition from a mathematical perspective. These high level tasks require signal representations enjoying specific …
J Bruna, S Mallat - IEEE transactions on pattern analysis and …, 2013 - ieeexplore.ieee.org
A wavelet scattering network computes a translation invariant image representation which is stable to deformations and preserves high-frequency information for classification. It …
L Schaerf, E Postma, C Popovici - Neural Computing and Applications, 2023 - Springer
In recent years, transformers, initially developed for language, have been successfully applied to visual tasks. Vision transformers have been shown to push the state of the art in a …
This thesis is concerned with the problem of visual recognition in art–such as finding the objects (eg cars, cows and cathedrals) present in a painting, or identifying the subject of an …
T Dobbs, AAR Nayeem, I Cho, Z Ras - Big Data and Cognitive Computing, 2023 - mdpi.com
Art authentication is the process of identifying the artist who created a piece of artwork and is manifested through events of provenance, such as art gallery exhibitions and financial …
F Bianconi, R Bello-Cerezo - IOP Conference Series: Materials …, 2018 - iopscience.iop.org
The ever increasing availability of digital data from the Arts and cultural heritage calls for efficient methods to organise, categorise, and retrieve such information in an effective and …
This paper presents a sparse representation based complete kernel marginal Fisher analysis (SCMFA) framework for categorizing fine art images. First, we introduce several …
A Wasielewski - photographies, 2023 - Taylor & Francis
Deep learning techniques are increasingly used to automate categorization and identification tasks for large datasets of digital photographs. For rasterized images formats …