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Planar markers are useful in robotics and computer vision for mapping and localisation. Given a detected marker in an image, a frequent task is to estimate the 6DOF pose of the marker relative to the camera, which is an instance of planar…

Computer Vision and Pattern Recognition · Computer Science 2019-09-27 Shin-Fang Ch'ng , Naoya Sogi , Pulak Purkait , Tat-Jun Chin , Kazuhiro Fukui

This work integrates in-situ neutron diffraction and crystal plasticity finite element modeling to study the kinematic stability of retained austenite in high carbon bearing steels. The presence of a kinematically metastable retained…

Materials Science · Physics 2018-01-18 Rohit Voothaluru , Vikram Bedekar , Qingge Xie , Alexandru D Stoica , R Scott Hyde , Ke An

Thermomechanical controlled processing (TMCP) is widely used to optimize the final properties of high strength low alloy (HSLA) steels, via microstructure engineering. The room temperature microstructures are influenced by the high…

Materials Science · Physics 2024-09-02 Ruth M Birch , T. Ben Britton , Warren J Poole

This paper introduces a practical and accurate calibration method for camera spectral sensitivity using a diffraction grating. Accurate calibration of camera spectral sensitivity is crucial for various computer vision tasks, including color…

Computer Vision and Pattern Recognition · Computer Science 2025-08-04 Lilika Makabe , Hiroaki Santo , Fumio Okura , Michael S. Brown , Yasuyuki Matsushita

Event-based cameras (EBCs) are a promising new technology for star tracking-based attitude determination, but prior studies have struggled to determine accurate ground truth for real data. We analyze the accuracy of an EBC star tracking…

Computer Vision and Pattern Recognition · Computer Science 2025-09-11 Dennis Melamed , Connor Hashemi , Scott McCloskey

Nearly all 3D displays need calibration for correct rendering. More often than not, the optical elements in a 3D display are misaligned from the designed parameter setting. As a result, 3D magic does not perform well as intended. The…

Computer Vision and Pattern Recognition · Computer Science 2017-04-26 Hyoseok Hwang , Hyun Sung Chang , Dongkyung Nam , In So Kweon

Characterizing crystal structures and interfaces down to the atomic level is an important step for designing advanced materials. Modern electron microscopy routinely achieves atomic resolution and is capable to resolve complex arrangements…

Materials Science · Physics 2023-09-07 Andreas Leitherer , Byung Chul Yeo , Christian H. Liebscher , Luca M. Ghiringhelli

Automatic image rotation estimation is a key preprocessing step in many vision pipelines. This task is challenging because angles have circular topology, creating boundary discontinuities that hinder standard regression methods. We present…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Maximilian Woehrer

Atomic resolution imaging in transmission electron microscopy (TEM) and scanning TEM (STEM) of light elements in electron-transparent materials has long been a challenge. Biomolecular materials, for example, are rapidly altered when…

Instrumentation and Detectors · Physics 2018-12-05 Fehmi S. Yasin , Tyler R. Harvey , Jordan J. Chess , Jordan S. Pierce , Colin Ophus , Peter Ercius , Benjamin J. McMorran

We present a procedure for fitting an ellipse to powder diffraction patterns recorded on a planar 2D detector, which uses the peak intensities as weights. This procedure works for complete and spotty diffraction rings. We outline all the…

Materials Science · Physics 2013-11-22 Michael L. Hart , Michael Drakopoulos

A current challenge in atomistic machine learning is that of efficiently predicting the response of the electron density under electric fields. We address this challenge with symmetry-adapted kernel functions that are specifically derived…

Materials Science · Physics 2025-02-26 Mariana Rossi , Kevin Rossi , Alan M. Lewis , Mathieu Salanne , Andrea Grisafi

Forescatter electron imaging is a popular microscopy technique, especially for scanning electron microscopes equipped with an electron backscatter diffraction detector. In principal, this method enables qualitative imaging of microstructure…

Materials Science · Physics 2018-06-04 Ben Britton , Daniel Goran , Vivian Tong

Model error covariances play a central role in the performance of data assimilation methods applied to nonlinear state-space models. However, these covariances are largely unknown in most of the applications. A misspecification of the model…

Computation · Statistics 2019-11-06 María Magdalena Lucini , Peter Jan van Leeuwen , Manuel Pulido

Precise sensor calibration is critical for autonomous vehicles as a prerequisite for perception algorithms to function properly. Rotation error of one degree can translate to position error of meters in target object detection at large…

Robotics · Computer Science 2025-06-24 Zhongyuan Li , Honggang Gou , Ping Li , Jiaotong Guo , Mao Ye

We present detailed elaboration and first generally applicable linearization routines of the \textit{Parameter Space Concept} (PSC) for determining 1-dimensionally projected structures of $m$ independent scatterers. This crystal…

Computational Physics · Physics 2024-11-14 Muthu Vallinayagam , Melanie Nentwich , Dirk C. Meyer , Matthias Zschornak

SUMMARY Geophysical imaging using the inversion procedure is a powerful tool for the exploration of the Earth's subsurface. However, the interpretation of inverted images can sometimes be difficult, due to the inherent limitations of…

Convergent-beam electron diffraction (CBED) is a well-established probe for spatial symmetries of crystalline samples, mainly exploiting the well-defined mapping between the diffraction groups (symmetry group of CBED patterns) and the…

Mesoscale and Nanoscale Physics · Physics 2025-11-18 O. Zaiets , C. Timm , J. Rusz , J. -Á. Castellanos-Reyes , S. Subakti , A. Lubk

This paper addresses the high precision measurement of the distortion of a digital camera from photographs. Traditionally, this distortion is measured from photographs of a flat pattern which contains aligned elements. Nevertheless, it is…

Computer Vision and Pattern Recognition · Computer Science 2012-12-27 Zhongwei Tang , Rafael Grompone von Gioi , Pascal Monasse , Jean-Michel Morel

STEM imaging is typically performed by raster scanning a focused electron probe over a sample. Here we investigate and compare three different scan patterns, making use of a programmable scan engine that allows to arbitrarily set the…

Applied Physics · Physics 2020-02-24 Abner Velazco , Magnus Nord , Armand Béché , Johan Verbeeck

In this work, the development and implementation of the effective stochastic potential (ESP) method is presented to perform efficient conformational sampling of molecules. The overarching goal of this work is to alleviate the computational…

Chemical Physics · Physics 2018-08-01 Jeremy A. Scher , Michael G. Bayne , Amogh Srihari , Shikha Nangia , Arindam Chakraborty
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