Computer Vision Models to Categorize Art Collections According to the Visual Content: A New Approach to the Abstract Art of Antoni Tapies

被引：0

作者：

Rosado, Pilar ^{[1
]}

机构：

[1] Univ Barcelona, Arts & Poet Creat Arch & Educ, Pau Gargallo 4, E-08028 Barcelona, Spain

来源：

LEONARDO | 2019年 / 52卷 / 03期

关键词：

OBJECT RECOGNITION; MECHANISMS; PAINTINGS;

D O I：

10.1162/leon_a_01443

中图分类号：

J [艺术];

学科分类号：

13 ; 1301 ;

摘要：

This study uses computer vision models, which to some extent simulate the initial stages of human visual perception, to help categorize data in large sets of images of artworks by the artist Antoni Tapies. The images have been analyzed on the basis of their compositional, chromatic and organizational characteristics, without textual notes, so that the analogies found may take us closer to, and help us to understand, the creator's original values. The system as programmed can assist the specialist by establishing analogies between different artists or periods using the same criteria.

引用

页码：255 / 260

页数：6

共 17 条

[1]

Bosch A., 2007, THESIS

[2]

Bosch A, 2006, LECT NOTES COMPUT SC, V3954, P517

[3]

Fei-Fei L., 2005, P 2005 IEEE COMP SOC

[4]

Grauman K., 2005, P 10 IEEE INT C COMP

[5] Unsupervised learning by probabilistic latent semantic analysis [J].

Hofmann, T .

MACHINE LEARNING, 2001, 42 (1-2) :177-196

[6]

Lazebnik S., 2006, 2006 IEEE COMP SOC C, VVolume 2, P2169, DOI DOI 10.1109/CVPR.2006.68

[7] Studying digital imagery of ancient paintings by mixtures of stochastic models [J].

Li, J ;

Wang, JZ .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2004, 13 (03) :338-351

[8] Distinctive image features from scale-invariant keypoints [J].

Lowe, DG .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 60 (02) :91-110

[9]

Lowe DG, 2000, LECT NOTES COMPUT SC, V1811, P20

[10]

MacQueen J., 1967, PROC 5 BERKELEY S MA, V1, P281

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