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Curvilinear structures frequently appear in microscopy imaging as the object of interest. Crystallographic defects, i.e., dislocations, are one of the curvilinear structures that have been repeatedly investigated under transmission electron…

Image and Video Processing · Electrical Eng. & Systems 2021-10-19 Okan Altingövde , Anastasiia Mishchuk , Gulnaz Ganeeva , Emad Oveisi , Cecile Hebert , Pascal Fua

High speed, high-resolution, and accurate 3D scanning would open doors to many new applications in graphics, robotics, science, and medicine by enabling the accurate scanning of deformable objects during interactions. Past attempts to use…

Computer Vision and Pattern Recognition · Computer Science 2025-10-23 Giancarlo Pereira , Yidan Gao , Yurii Piadyk , David Fouhey , Claudio T Silva , Daniele Panozzo

As an important component of autonomous systems, autonomous car perception has had a big leap with recent advances in parallel computing architectures. With the use of tiny but full-feature embedded supercomputers, computer stereo vision…

Computer Vision and Pattern Recognition · Computer Science 2020-12-18 Rui Fan , Li Wang , Mohammud Junaid Bocus , Ioannis Pitas

X-ray microtomography is a versatile tool allowing the measurement of the 3D structure of optically thick samples. As a non-destructive technique, it is readily adapted to 4D imaging, where a sample can be monitored over time, and…

Instrumentation and Detectors · Physics 2025-12-17 Harry Allan , Tom Partridge , Joseph Jacob , Marco Endrizzi

In many inertial confinement fusion experiments, the neutron yield and other parameters cannot be completely accounted for with one and two dimensional models. This discrepancy suggests that there are three dimensional effects which may be…

Computer Vision and Pattern Recognition · Computer Science 2023-02-22 Bradley T. Wolfe , Michael J. Falato , Xinhua Zhang , Nga T. T. Nguyen-Fotiadis , J. P. Sauppe , P. M. Kozlowski , P. A. Keiter , R. E. Reinovsky , S. A. Batha , Zhehui Wang

We propose a system that uses a convolution neural network (CNN) to estimate depth from a stereo pair followed by volumetric fusion of the predicted depth maps to produce a 3D reconstruction of a scene. Our proposed depth refinement…

Computer Vision and Pattern Recognition · Computer Science 2019-06-04 Rohan Chabra , Julian Straub , Chris Sweeney , Richard Newcombe , Henry Fuchs

Spectral 3D computer vision examines both the geometric and spectral properties of objects. It provides a deeper understanding of an object's physical properties by providing information from narrow bands in various regions of the…

Computer Vision and Pattern Recognition · Computer Science 2023-02-17 Yajie Sun , Ali Zia , Vivien Rolland , Charissa Yu , Jun Zhou

Imaging 3D nano-structures at very high resolution is crucial in a variety of scientific fields. However, due to fundamental limitations of light propagation we can only measure the object indirectly via 2D intensity measurements of the 3D…

Image and Video Processing · Electrical Eng. & Systems 2020-02-28 Zalan Fabian , Justin Haldar , Richard Leahy , Mahdi Soltanolkotabi

Holographic coherent X-ray imaging enables nanoscale imaging of biological cells and tissues, rendering both phase and absorption contrast, i.e. real and imaginary parts of the refractive index. Unlike the standard model, which assumes a…

Analysis of PDEs · Mathematics 2026-05-29 Thorsten Hohage , Milad Karimi , Björn Müller

Coherent X-ray beams with energies $\geq 50$ keV can potentially enable three-dimensional imaging of atomic lattice distortion fields within individual crystallites in bulk polycrystalline materials through Bragg coherent diffraction…

We propose a fully automatic system to reconstruct and visualize 3D blood vessels in Augmented Reality (AR) system from stereo X-ray images with bones and body fat. Currently, typical 3D imaging technologies are expensive and carrying the…

Computer Vision and Pattern Recognition · Computer Science 2017-09-25 Qiuyu Chen , Ryoma Bise , Lin Gu , Yinqiang Zheng , Imari Sato , Jenq-Neng Hwang , Nobuaki Imanishi , Sadakazu Aiso

By placing a diffractive element in front of an image sensor, we are able to multiplex the spectral and angular information of a scene onto the image sensor. Reconstruction of the angular-spectral distribution is attained by first…

Optics · Physics 2018-02-06 Peng Wang , Rajesh Menon

Depth imaging is vital for many emerging technologies with applications in augmented reality, robotics, gesture detection, and facial recognition. These applications, however, demand compact and low-power systems beyond the capabilities of…

Optics · Physics 2019-10-29 Shane Colburn , Arka Majumdar

Object detection in 3D with stereo cameras is an important problem in computer vision, and is particularly crucial in low-cost autonomous mobile robots without LiDARs. Nowadays, most of the best-performing frameworks for stereo 3D object…

Computer Vision and Pattern Recognition · Computer Science 2021-03-18 Yuxuan Liu , Lujia Wang , Ming Liu

Single-shot X-ray imaging of short-lived nanostructures such as clusters and nanoparticles near a phase transition or non-crystalizing objects such as large proteins and viruses is currently the most elegant method for characterizing their…

Atomic and Molecular Clusters · Physics 2020-10-14 Thomas Stielow , Robin Schmidt , Christian Peltz , Thomas Fennel , Stefan Scheel

3D image reconstruction from a set of X-ray projections is an important image reconstruction problem, with applications in medical imaging, industrial inspection and airport security. The innovation of X-ray emitter arrays allows for a…

Medical Physics · Physics 2016-11-23 Maria Klodt , Raphael Hauser

In the scanning transmission electron microscope, both phase imaging of beam-sensitive materials and characterisation of a material's functional properties using in-situ experiments are becoming more widely available. As the practicable…

Materials Science · Physics 2024-09-20 Julie Marie Bekkevold , Jonathan J. P. Peters , Ryo Ishikawa , Naoya Shibata , Lewys Jones

Active stereo vision is important in reconstructing objects without obvious textures. However, it is still very challenging to extract and match the projected patterns from two camera views automatically and robustly. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2020-04-01 Yongcan Shuang , Zhenzhou Wang

We propose DiffuStereo, a novel system using only sparse cameras (8 in this work) for high-quality 3D human reconstruction. At its core is a novel diffusion-based stereo module, which introduces diffusion models, a type of powerful…

Computer Vision and Pattern Recognition · Computer Science 2022-07-21 Ruizhi Shao , Zerong Zheng , Hongwen Zhang , Jingxiang Sun , Yebin Liu