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Hyperspectral neutron computed tomography is a tomographic imaging technique in which thousands of wavelength-specific neutron radiographs are measured for each tomographic view. In conventional hyperspectral reconstruction, data from each…

This article describes the design features and the first test measurements obtained during the installation of a novel high resolution 2D neutron detection technique. The technique proposed in this work consists of a boron layer (enriched…

Reconstructing 3D scenes from a single image is a fundamentally ill-posed task due to the severely under-constrained nature of the problem. Consequently, when the scene is rendered from novel camera views, existing single image to 3D…

计算机视觉与模式识别 · 计算机科学 2025-10-10 Sarosij Bose , Arindam Dutta , Sayak Nag , Junge Zhang , Jiachen Li , Konstantinos Karydis , Amit K. Roy Chowdhury

Reconstructing 3D objects from extremely sparse views is a long-standing and challenging problem. While recent techniques employ image diffusion models for generating plausible images at novel viewpoints or for distilling pre-trained…

计算机视觉与模式识别 · 计算机科学 2023-12-21 Zi-Xin Zou , Weihao Cheng , Yan-Pei Cao , Shi-Sheng Huang , Ying Shan , Song-Hai Zhang

Three-dimensional target reconstruction from synthetic aperture radar (SAR) imagery is crucial for interpreting complex scattering information in SAR data. However, the intricate electromagnetic scattering mechanisms inherent to SAR imaging…

图形学 · 计算机科学 2025-10-09 Aobo Li , Zhengxin Lei , Jiangtao Wei , Feng Xu

In Cone-Beam CT (CBCT) imaging systems, the scattering phenomenon has a significant impact on the reconstructed image and is a long-lasting research topic on CBCT. In this paper, we propose a simple, novel and fast approach for mitigating…

医学物理 · 物理学 2016-04-07 Shi-peng Xie , Rui-ju Yan

3D Compton scattering imaging is an upcoming concept exploiting the scattering of photons induced by the electronic structure of the object under study. The so-called Compton scattering rules the collision of particles with electrons and…

数值分析 · 数学 2020-07-02 Gael Rigaud

We investigate the recovery of structures from large-area, low dose exposures that distribute the dose over many identical copies of an object. The reconstruction is done via a maximum likelihood approach that does neither require to…

材料科学 · 物理学 2018-03-28 C. Kramberger , J. C. Meyer

3D Gaussian Splatting is crucial for real-time novel view synthesis due to its efficiency and ability to render photorealistic images. However, building a 3D Gaussian is guided solely by photometric loss, which can result in inconsistencies…

计算机视觉与模式识别 · 计算机科学 2025-12-09 Quan Tran , Tuan Dang

Industrial X-ray cone-beam CT (XCT) scanners are widely used for scientific imaging and non-destructive characterization. Industrial CBCT scanners use large detectors containing millions of pixels and the subsequent 3D reconstructions can…

图像与视频处理 · 电气工程与系统科学 2025-01-24 Aniket Pramanik , Singanallur V. Venkatakrishnan , Obaidullah Rahman , Amirkoushyar Ziabari

Neutron computed tomography (nCT) is a 3D characterization technique used to image the internal morphology or chemical composition of samples in biology and materials sciences. A typical workflow involves placing the sample in the path of a…

Pipe inspection is a critical task for many industries and infrastructure of a city. The 3D information of a pipe can be used for revealing the deformation of the pipe surface and position of the camera during the inspection. In this paper,…

计算机视觉与模式识别 · 计算机科学 2020-07-06 Sho kagami , Hajime Taira , Naoyuki Miyashita , Akihiko Torii , Masatoshi Okutomi

3D scene reconstruction from a single measurement is challenging, especially in the presence of occluded regions and specular materials, such as mirrors. We address these challenges by leveraging single-photon lidars. These lidars estimate…

计算机视觉与模式识别 · 计算机科学 2025-12-09 Tzofi Klinghoffer , Siddharth Somasundaram , Xiaoyu Xiang , Yuchen Fan , Christian Richardt , Akshat Dave , Ramesh Raskar , Rakesh Ranjan

We propose a novel approach for 3D mesh reconstruction from multi-view images. Our method takes inspiration from large reconstruction models like LRM that use a transformer-based triplane generator and a Neural Radiance Field (NeRF) model…

High-resolution phase-contrast 3D imaging using nano-holotomography typically requires collecting multiple tomograms at varying sample-to-detector distances, usually 3 to 4. This multi-distance approach significantly limits temporal…

光学 · 物理学 2024-09-10 Viktor Nikitin , Marcus Carlsson , Rajmund Mokso , Peter Cloetens , Doga Gursoy

2D-to-3D reconstruction is an ill-posed problem, yet humans are good at solving this problem due to their prior knowledge of the 3D world developed over years. Driven by this observation, we propose NeRDi, a single-view NeRF synthesis…

计算机视觉与模式识别 · 计算机科学 2022-12-08 Congyue Deng , Chiyu "Max'' Jiang , Charles R. Qi , Xinchen Yan , Yin Zhou , Leonidas Guibas , Dragomir Anguelov

It is well known that two fission fragments (FF's) are emitted essentially back to back in the laboratory frame. That can be used widely in many applications as a unique signature of fissionable materials. However, such fission fragments…

核实验 · 物理学 2019-07-12 Roman V. Shapovalov

The coherent elastic scattering of neutrinos on nuclei, also known as CEvNS, has been studied for several years by the COHERENT program of experiments using neutrinos from stopped-pion decays produced at the Spallation Neutron Source (SNS).…

In this paper we analyze and compare approaches for 3D reconstruction from low-resolution (250x250), high radial distortion stereo images, which are acquired with small baseline (approximately 1mm). These images are acquired with the system…

计算机视觉与模式识别 · 计算机科学 2017-09-20 Tiago Dias , Helder Araujo , Pedro Miraldo

We present the development of a segmented fast neutron spectrometer (FaNS-2) based upon plastic scintillator and $^3$He proportional counters. It was designed to measure both the flux and spectrum of fast neutrons in the energy range of few…

仪器与探测器 · 物理学 2016-01-19 FaNS Collaboration , T. J. Langford , E. J. Beise , H. Breuer , C. R. Heimbach , G. Ji , J. S. Nico