Kammerer, P.,
Glantz, R.,
Segmentation of brush strokes by saliency preserving dual graph
contraction,
PRL(24), No. 8, May 2003, pp. 1043-1050.
Elsevier DOI
0304
BibRef
Kammerer, P.[Paul],
Zolda, E.[Ernestine],
Melzer, T.[Thomas],
Stroke Detection of Brush Strokes in Portrait Miniatures Using a
Semi-Parametric and a Model Based Approach,
ICPR98(Vol I: 474-476).
IEEE DOI
9808
BibRef
Zolda, E.[Ernestine],
Kammerer, P.[Paul],
Sablatnig, R.[Robert],
Hierarchical Classification of Paintings Using Face- and Brush Stroke
Models,
ICPR98(Vol I: 172-174).
IEEE DOI
9808
BibRef
Berezhnoy, I.E.[Igor E.],
Postma, E.O.[Eric O.],
van den Herik, H.J.[H. Jaap],
Automatic extraction of brushstroke orientation from paintings:
POET: prevailing orientation extraction technique,
MVA(20), No. 1, January 2009, pp. xx-yy.
Springer DOI
0810
BibRef
Li, J.[Jia],
Yao, L.[Lei],
Hendriks, E.[Ella],
Wang, J.Z.[James Z.],
Rhythmic Brushstrokes Distinguish van Gogh from His Contemporaries:
Findings via Automated Brushstroke Extraction,
PAMI(34), No. 6, June 2012, pp. 1159-1176.
IEEE DOI
1205
BibRef
Lamberti, F.[Fabrizio],
Sanna, A.[Andrea],
Paravati, G.[Gianluca],
Computer-assisted analysis of painting brushstrokes: digital image
processing for unsupervised extraction of visible features from van
Gogh's works,
JIVP(2014), No. 1, 2014, pp. 53.
DOI Link
1412
BibRef
Krauth, N.[Niklas],
Nieser, M.[Matthias],
Polthier, K.[Konrad],
Differential-Based Geometry and Texture Editing with Brushes,
JMIV(48), No. 2, February 2014, pp. 359-368.
Springer DOI
1402
BibRef
Virtusio, J.J.[John Jethro],
Tan, D.S.[Daniel Stanley],
Cheng, W.H.[Wen-Huang],
Tanveer, M.,
Hua, K.L.[Kai-Lung],
Enabling Artistic Control Over Pattern Density and Stroke Strength,
MultMed(23), 2021, pp. 2273-2285.
IEEE DOI
2108
Correlation, Feature extraction, Image resolution,
Adaptation models, Network architecture, Integrated circuits,
style representation
BibRef
Liu, S.H.[Song-Hua],
Lin, T.W.[Tian-Wei],
He, D.L.[Dong-Liang],
Li, F.[Fu],
Deng, R.F.[Rui-Feng],
Li, X.[Xin],
Ding, E.[Errui],
Wang, H.[Hao],
Paint Transformer:
Feed Forward Neural Painting with Stroke Prediction,
ICCV21(6578-6587)
IEEE DOI
2203
Training, Pipelines, Reinforcement learning,
Stroke (medical condition), Transformers, Real-time systems, Feeds,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Putri, T.,
Mukundan, R.,
Neshatian, K.,
Circular Filtering and Neutrosophic Extraction of Vincent Van Gogh's
Visible Brushstrokes,
IVCNZ18(1-6)
IEEE DOI
1902
BibRef
Earlier:
Artistic style characterization and brush stroke modelling for
non-photorealistic rendering,
IVCNZ17(1-7)
IEEE DOI
1902
Image segmentation, Image edge detection, Painting,
Feature extraction, Shape, Fuzzy logic, Brushes, Neutrosophy, circular filter.
art, image texture, learning (artificial intelligence), Testing.
BibRef
Shen, Q.Q.[Qi-Qi],
Cui, D.[Dele],
Sheng, Y.[Yun],
Zhang, G.X.[Gui-Xu],
Illumination-Preserving Embroidery Simulation for Non-photorealistic
Rendering,
MMMod17(II: 233-244).
Springer DOI
1701
BibRef
Sun, M.J.[Mei-Jun],
Zhang, D.[Dong],
Ren, J.C.[Jin-Chang],
Wang, Z.[Zheng],
Jin, J.S.[Jesse S.],
Brushstroke based sparse hybrid convolutional neural networks for
author classification of Chinese ink-wash paintings,
ICIP15(626-630)
IEEE DOI
1512
Brushstroke analysis
BibRef
Park, Y.S.[Young-Sup],
Yoon, K.H.[Kyung-Hyun],
Motion Map Generation for Maintaining the Temporal Coherence of Brush
Strokes,
VISAPP06(139-152).
Springer DOI
0711
BibRef
Kovacs, L.,
Sziranyi, T.,
Creating animations combining stochastic paintbrush transformation and
motion detection,
ICPR02(II: 1090-1093).
IEEE DOI
0211
BibRef
Szirányi, T.[Tamás],
Tóth, Z.[Zoltán],
Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods,
EMMCVPR01(201-215).
Springer DOI
0205
BibRef
Earlier:
Random Paintbrush Transformation,
ICPR00(Vol III: 151-154).
IEEE DOI
0009
Simulate painted transformation of image.
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Aesthetic Quality, Aesthetic Evaluation .