Quantification of artistic style through sparse coding analysis in the drawings of Pieter Bruegel the Elder
Recently, statistical techniques have been used to assist art historians in the analysis of
works of art. We present a novel technique for the quantification of artistic style that utilizes a …
works of art. We present a novel technique for the quantification of artistic style that utilizes a …
Studying digital imagery of ancient paintings by mixtures of stochastic models
The paper addresses learning-based characterization of fine art painting styles. The
research has the potential to provide a powerful tool to art historians for studying …
research has the potential to provide a powerful tool to art historians for studying …
Multiple visual features for the computer authentication of Jackson Pollock's drip paintings: beyond box counting and fractals
Drip paintings by the American Abstract Expressionist Jackson Pollock have been analyzed
through computer image methods, generally in support of authentication studies. The …
through computer image methods, generally in support of authentication studies. The …
Automatic analysis of artistic paintings using information-based measures
The artistic community is increasingly relying on automatic computational analysis for
authentication and classification of artistic paintings. In this paper, we identify hidden …
authentication and classification of artistic paintings. In this paper, we identify hidden …
Compression ensembles quantify aesthetic complexity and the evolution of visual art
To the human eye, different images appear more or less complex, but capturing this intuition
in a single aesthetic measure is considered hard. Here, we propose a computationally …
in a single aesthetic measure is considered hard. Here, we propose a computationally …
Predicting and grouping digitized paintings by style using unsupervised feature learning
E Gultepe, TE Conturo, M Makrehchi - Journal of cultural heritage, 2018 - Elsevier
Objective To create n system to aid in the analysis of art history by classifying and grouping
digitized paintings based on stylistic features automatically learned without prior knowledge …
digitized paintings based on stylistic features automatically learned without prior knowledge …
[图书][B] Computational formalism: Art history and machine learning
A Wasielewski - 2023 - books.google.com
How the use of machine learning to analyze art images has revived formalism in art history,
presenting a golden opportunity for art historians and computer scientists to learn from one …
presenting a golden opportunity for art historians and computer scientists to learn from one …
Authenticating Pollock paintings using fractal geometry
RP Taylor, R Guzman, TP Martin, GDR Hall… - Pattern Recognition …, 2007 - Elsevier
Jackson Pollock's paintings are currently valued up to US $75 M, triggering discussions that
attributation procedures featuring subjective visual assessments should be complimented by …
attributation procedures featuring subjective visual assessments should be complimented by …
Stylistic analysis of paintings usingwavelets and machine learning
Wavelet transforms and machine learning tools can be used to assist art experts in the
stylistic analysis of paintings. A dual-tree complex wavelet transform, Hidden Markov Tree …
stylistic analysis of paintings. A dual-tree complex wavelet transform, Hidden Markov Tree …
Scattering transform and sparse linear classifiers for art authentication
R Leonarduzzi, H Liu, Y Wang - Signal Processing, 2018 - Elsevier
Recently, a novel signal-processing tool was proposed, the scattering transform, which uses
a cascade of wavelet filters and nonlinear (modulus) operations to build translation-invariant …
a cascade of wavelet filters and nonlinear (modulus) operations to build translation-invariant …