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Digital technologies and tools have transformed the way we can study cultural heritage and the way we can recreate it digitally. Techniques such as laser scanning, photogrammetry, and a variety of Mixed Reality solutions have enabled…

Human-Computer Interaction · Computer Science 2025-07-28 Wieslaw Kopeć , Anna Jaskulska , Władysław Fuchs , Wiktor Stawski , Stanisław Knapiński , Barbara Karpowicz , Rafał Masłyk

Low power energy dispersive XRD-XRF portable instruments equipped with multiple angle scanning can take advantage of the shorter acquisition time of EDXRD with respect to ADXRD, and bring closer higher accuracy and resolution of…

Instrumentation and Detectors · Physics 2016-10-21 Ariadna Mendoza Cuevas , Jorge Fernandez-de-Cossio Dorta-Duque

The increasing importance of artificial intelligence and machine learning in materials research has created demand for automated, high-throughput characterization techniques capable of rapidly generating large data sets. We describe here a…

In Cultural Heritage, hyperspectral images are commonly used since they provide extended information regarding the optical properties of materials. Thus, the processing of such high-dimensional data becomes challenging from the perspective…

Computer Vision and Pattern Recognition · Computer Science 2022-07-06 Ioannis N. Tzortzis , Ioannis Rallis , Konstantinos Makantasis , Anastasios Doulamis , Nikolaos Doulamis , Athanasios Voulodimos

Automated X-ray inspection is crucial for efficient and unobtrusive security screening in various public settings. However, challenges such as object occlusion, variations in the physical properties of items, diversity in X-ray scanning…

Study of cultural-heritage objects with embellished realistic and abstract designs made up of connected and intertwined curves crosscuts a number of related disciplines, including archaeology, art history, and heritage management. However,…

Computer Vision and Pattern Recognition · Computer Science 2017-01-09 Jun Zhou , Haozhou Yu , Karen Smith , Colin Wilder , Hongkai Yu , Song Wang

X-ray fluorescence (XRF) analysis is a widely applied technique for the quantitative analysis of thin films up to the $\mu$m scale because of its non-destructive nature and because it is easily automated. When low uncertainties of the…

Materials Science · Physics 2020-10-13 André Wählisch , Cornelia Streeck , Philipp Hönicke , Burkhard Beckhoff

We propose a novel method for salient object detection in different images. Our method integrates spatial features for efficient and robust representation to capture meaningful information about the salient objects. We then train a…

Computer Vision and Pattern Recognition · Computer Science 2019-04-19 Abdullah J. Alzahrani , Hina Afridi

X-ray radiography is an imaging technique widely used in the examination of works of art and heritage objects, however no references to its application to the study of daguerreotypes have been found. The results obtained in this study…

Image and Video Processing · Electrical Eng. & Systems 2024-01-23 Sara Barrio , Laura Alba , Clara M. Prieto

Although the methodology of Design Science Research (DSR) is playing an increasingly important role with the emergence of the "sciences of the artificial", the validity of the resulting artifacts is occasionally questioned. This paper…

Other Computer Science · Computer Science 2025-04-15 Sylvana Kroop

The in situ synchrotron high-energy X-ray powder diffraction (XRD) technique is highly utilized by researchers to analyze the crystallographic structures of materials in functional devices (e.g., battery materials) or in complex sample…

Image and Video Processing · Electrical Eng. & Systems 2022-12-16 Howard Yanxon , James Weng , Hannah Parraga , Wenqian Xu , Uta Ruett , Nicholas Schwarz

X-ray fluorescence spectroscopy (XRF) plays an important role for elemental analysis in a wide range of scientific fields, especially in cultural heritage. XRF imaging, which uses a raster scan to acquire spectra across artworks, provides…

The use of coherent x-ray beams has been greatly developing for the past decades. They are now used by a wide scientific community to study biological materials, phase transitions in crystalline materials, soft matter, magnetism, strained…

Materials Science · Physics 2010-09-01 V. L. R. Jacques , S. Ravy , D. Le Bolloc'h , E. Pinsolle , M. Sauvage-Simkin , F. Livet

Transparent and reflective objects in everyday environments pose significant challenges for depth sensors due to their unique visual properties, such as specular reflections and light transmission. These characteristics often lead to…

Robotics · Computer Science 2025-06-12 Guanghu Xie , Zhiduo Jiang , Yonglong Zhang , Yang Liu , Zongwu Xie , Baoshi Cao , Hong Liu

This work presents a method for the measurement of the accuracy of evidential artifact extraction and categorization tasks in digital forensic investigations. Instead of focusing on the measurement of accuracy and errors in the functions of…

Computers and Society · Computer Science 2015-02-19 Joshua I. James , Alejandra Lopez-Fernandez , Pavel Gladyshev

The number of objects is considered an important factor in a variety of tasks in the agricultural domain. Automated counting can improve farmers decisions regarding yield estimation, stress detection, disease prevention, and more. In recent…

Computer Vision and Pattern Recognition · Computer Science 2023-05-10 Guy Farjon , Liu Huijun , Yael Edan

Deep convolutional neural networks have become a key element in the recent breakthrough of salient object detection. However, existing CNN-based methods are based on either patch-wise (region-wise) training and inference or fully…

Computer Vision and Pattern Recognition · Computer Science 2018-04-03 Guanbin Li , Yizhou Yu

Energy-dispersive X-ray diffraction (EDXRD) is extremely insensitive to sample morphology when implemented in a back-reflection geometry. The capabilities of this non-invasive technique for cultural heritage applications have been explored…

Instrumentation and Detectors · Physics 2021-11-19 Craig I. Hiley , Graeme M. Hansford , Nicholas Eastaugh

High-resolution imaging has delivered new prospects for detecting the material composition and structure of cultural treasures. Despite the various techniques for analysis, a significant diagnostic gap remained in the range of available…

Computer Vision and Pattern Recognition · Computer Science 2017-12-12 AmirAbbas Davari , Armin Häberle , Vincent Christlein , Andreas Maier , Christian Riess

A holistic approach using non-invasive multimodal imaging and spectroscopic techniques to study the materials (pigments, drawing materials and paper) and painting techniques of watercolour paintings is presented. The non-invasive imaging…

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