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Because of the inevitably disordered background, structural defects are not well-defined concepts in amorphous solids. In order to overcome this difficulty, it has been recently proposed that topological defects can be still identified in…

Materials Science · Physics 2025-07-24 Long-Zhou Huang , Yun-Jiang Wang , Matteo Baggioli

Materials informatics offers a promising pathway towards rational materials design, replacing the current trial-and-error approach and accelerating the development of new functional materials. Through the use of sophisticated data analysis…

Materials Science · Physics 2018-05-17 Cormac Toher , Corey Oses , Stefano Curtarolo

We theorize the surface step characterization by reflected incoherent-light differential interference microscopy with consideration of the optical diffraction effect. With the integration of localization analysis, we develop a quantitative…

Optics · Physics 2022-11-30 Ka Hung Chan , Shengwang Du , Xian Chen

Mesh denoising is a fundamental problem in digital geometry processing. It seeks to remove surface noise, while preserving surface intrinsic signals as accurately as possible. While the traditional wisdom has been built upon specialized…

Computer Vision and Pattern Recognition · Computer Science 2022-09-05 Honghua Chen , Mingqiang Wei , Jun Wang

In this paper, we present a new robotic system to perform defect inspection tasks over free-form specular surfaces. The autonomous procedure is achieved by a six-DOF manipulator, equipped with a line scan camera and a high-intensity…

Robotics · Computer Science 2020-08-26 Shengzeng Huo , David Navarro-Alarcon , David Chik

High-resolution printed circuit board (PCB) inspection suffers from resolution collapse when full-board images are resized to standard detector inputs: micro-scale defects shrink to a few pixels and are missed. Tile-based inference…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Mohammad Alijanpour Shalmani , Alale Rezvani Boroujeni , Ali Amini , Jiann Shiun Yuan

Most currently used object detection methods are learning-based, and can detect objects under varying appearances. Those models require training and a training dataset. We focus on use cases with less data variation, but the requirement of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Valentin Braeutigam , Matthias Stock , Bernhard Egger

Using scintillator tile technology several square meters of plastic scintillator are read out by only two photomultiplier with a time precision of about 1.5 nsec. Two examples are discussed to build a detector based on this technology to…

Instrumentation and Detectors · Physics 2016-09-08 J. Baehr , H. -J. Grabosch , V. Kantserov , H. Leich , R. Leiste , R. Nahnhauer

Certain systems, such as amphiphile solutions or diblock copolymer melts, may assemble into structures called ``mesophases'', with properties intermediate between those of a solid and a liquid. These mesophases can be of very regular…

Soft Condensed Matter · Physics 2007-05-23 Jens Harting , Matthew J. Harvey , Jonathan Chin , Peter V. Coveney

We present an automated vision-based system for defect detection and classification of laser power meter sensor coatings. Our approach addresses the critical challenge of identifying coating defects such as thermal damage and scratches that…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Dongqi Zheng , Wenjin Fu , Guangzong Chen

This paper presents a cutting-edge robotic inspection solution designed to automate quality control in automotive manufacturing. The system integrates a pair of collaborative robots, each equipped with a high-resolution camera-based vision…

The automotive industry is currently expanding digital display options with every new model that comes onto the market. This entails not just an expansion in dimensions, resolution, and customization choices, but also the capability to…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Cornelius Bürkle , Fabian Oboril , Kay-Ulrich Scholl

Automatic defect recognition is one of the research hotspots in steel production, but most of the current methods mainly extract features manually and use machine learning classifiers to recognize defects, which cannot tackle the situation,…

Computer Vision and Pattern Recognition · Computer Science 2019-09-18 Jingwen Fu , Xiaoyan Zhu , Yingbin Li

This paper presents a detailed symbolic approach to the study of self-similar tilings. It uses properties of addresses associated with graph-directed iterated function systems to establish conjugacy properties of tiling spaces. Tiles may be…

Dynamical Systems · Mathematics 2020-11-30 Michael F. Barnsley , Louisa F. Barnsley , Andrew Vince

In the discretization of differential problems on complex geometrical domains, discretization methods based on polygonal and polyhedral elements are powerful tools. Adaptive mesh refinement for such kind of problems is very useful as well…

Numerical Analysis · Mathematics 2019-12-12 Stefano Berrone , Andrea Borio , Alessandro D'Auria

In this paper, we present a new approach to obtain symmetric tiles with curved edges. Our approach is based on using higher-order Voronoi sites that are closed under wallpaper symmetries. The resulting Voronoi tessellations provide us with…

Computational Geometry · Computer Science 2023-10-25 Haard Panchal , Ergun Akleman , Vinayak Krishnamurthy , Tolga Talha Yildiz , Varda Grover

Digital mosaics have usually used regular tiles, simulating the historical "tessellated" mosaics. In this paper, we present a method for synthesizing pebble mosaics, a historical mosaic style in which the tiles are rounded pebbles. We…

Graphics · Computer Science 2019-02-11 Lars Doyle , Forest Anderson , Ehren Choy , David Mould

A criterium is derived to understand the relevance of thermal effects resulting from high rate mechanical actions on glass surface. The criterium is based on the concept of characteristic contact time of the load to the glass surface. This…

Materials Science · Physics 2023-04-18 Guglielmo Macrelli

After a review of linear imperfections and their causes, we discuss how to model them, the diagnostic equipment needed to monitor them, and the correction algorithms to fix the problem they cause. We first address linear systems - beam…

Accelerator Physics · Physics 2020-06-22 V. Ziemann

Quality assurance is a critical but underexplored area in digital pathology, where even minor artifacts can have significant effects. Artifacts have been shown to negatively impact the performance of AI diagnostic models. In current…

Image and Video Processing · Electrical Eng. & Systems 2025-06-13 Meredith VandeHaar , M. Clinch , I. Yilmaz , M. A. Rahman , Y. Xiao , F. Dogany , H. M. Alazab , A. Nassar , Z. Akkus , B. Dangott