On art authentication and the Rijksmuseum challenge: A residual neural network approach
T Dobbs, Z Ras - Expert Systems with Applications, 2022 - Elsevier
The popularity of machine learning algorithms produced numerous applications in the past
ten years. One application is that of art authentication which assures that a piece of art is …
ten years. One application is that of art authentication which assures that a piece of art is …
A survey of computational methods for iconic image analysis
N van Noord - Digital Scholarship in the Humanities, 2022 - academic.oup.com
Digitization and digitalization efforts have led to an explosive growth of the number of
images that are published, shared, and made available in collections. In turn, this has …
images that are published, shared, and made available in collections. In turn, this has …
Jumping into the artistic deep end: building the catalogue raisonné
T Dobbs, A Benedict, Z Ras - AI & SOCIETY, 2022 - Springer
The catalogue raisonné compiled by art scholars holds information about an artist's work
such as a painting's image, medium, provenance, and title. The catalogue raisonné as a …
such as a painting's image, medium, provenance, and title. The catalogue raisonné as a …
Enhancing human pose estimation in ancient vase paintings via perceptually-grounded style transfer learning
Human pose estimation (HPE) is a central part of understanding the visual narration and
body movements of characters depicted in artwork collections, such as Greek vase …
body movements of characters depicted in artwork collections, such as Greek vase …
Looking under the skin: multi-scale CT scanning of a peculiarly constructed cornett in the Rijksmuseum
J Dorscheid, FG Bossema, P van Duin, SB Coban… - Heritage Science, 2022 - Springer
Covered tightly by a thin leather skin, three early seventeenth-century cornetts from the
collection of the Rijksmuseum were examined with the focus on their construction and …
collection of the Rijksmuseum were examined with the focus on their construction and …
Measuring and evaluating the visual complexity of Chinese ink paintings
Painters arrange white space in contrast with chromatic space composed of strokes. This
research measures white space, color complexity and stroke density in Chinese ink …
research measures white space, color complexity and stroke density in Chinese ink …
Infra sim-to-real: An efficient baseline and dataset for infrastructure based online object detection and tracking using domain adaptation
Increasing usage of traffic cameras provides an opportunity to utilize them for smart city
applications. However, the efficacy of such systems is determined by their ability to detect …
applications. However, the efficacy of such systems is determined by their ability to detect …
Proxy learning of visual concepts of fine art paintings from styles through language models
We present a machine learning system that can quantify fine art paintings with a set of visual
elements and principles of art. The formal analysis is fundamental for understanding art, but …
elements and principles of art. The formal analysis is fundamental for understanding art, but …
Formal analysis of art: Proxy learning of visual concepts from style through language models
We present a machine learning system that can quantify fine art paintings with a set of visual
elements and principles of art. This formal analysis is fundamental for understanding art, but …
elements and principles of art. This formal analysis is fundamental for understanding art, but …
Images enhancement of ancient mural painting of Bey's palace constantine, Algeria and Lacuna extraction using mahalanobis distance classification approach
A Nasri, X Huang - Sensors, 2022 - mdpi.com
As a result of human activity and environmental changes, several types of damages may
occur to ancient mural paintings; indeed, lacunae, which refer to the area of paint layer loss …
occur to ancient mural paintings; indeed, lacunae, which refer to the area of paint layer loss …