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What is this report: This is a scientific report, contributing with a detailed bibliography, a dataset which we will call now PFSeq for ''Photorealistic Fisheye Sequence'' and make available at https://doi.org/10. 57745/DYIVVU, and…

计算机视觉与模式识别 · 计算机科学 2026-02-06 Julien Moreau , S. Ambellouis , Yassine Ruichek

Improvement of label-free far-field resolution of optical imaging is possible with prior knowledge of the object such as its sparsity or accumulated by a posteriori examination of a similar class of object1-4. We show that the sole…

光学 · 物理学 2026-02-03 Taeyong Chang , Giorgio Adamo , Nikolay I. Zheludev

In the rapidly evolving field of optical engineering, precise alignment of multi-lens imaging systems is critical yet challenging, as even minor misalignments can significantly degrade performance. Traditional alignment methods rely on…

光学 · 物理学 2025-07-01 Tomer Slor , Dean Oren , Shira Baneth , Tom Coen , Haim Suchowski

Remote focusing of light in a graded-index medium via mode interference is demonstrated using exact analytical solutions of the wave equation. Strong focusing of light occurs at extremely long distances and it revivals periodically with…

光学 · 物理学 2015-12-09 Nikolai I. Petrov

A planar hyper-lens, capable of creating sub-wavelength imaging for broadband electromagnetic wave, is designed based on electromagnetic null medium. Subsequently, a scheme for the implementation of the proposed hyper-lens is given by using…

应用物理 · 物理学 2024-11-11 Ran Sun , Fei Sun , Hanchuan Chen , Yichao Liu , Qi Wang

We report on the investigation of an approach for modelling light transmission through systems consisting of several jointed optical fibres, in which the analytical modelling of the waveguides was replaced by Finite Element Modelling (FEM)…

应用物理 · 物理学 2018-07-31 Natascia Castagna , Jacques Morel , Luc Testa , Sven Burger

Keypoint detection and matching is a fundamental task in many computer vision problems, from shape reconstruction, to structure from motion, to AR/VR applications and robotics. It is a well-studied problem with remarkable successes such as…

计算机视觉与模式识别 · 计算机科学 2023-06-06 Marcela Mera-Trujillo , Shivang Patel , Yu Gu , Gianfranco Doretto

We consider the problem of domain approximation in finite element methods for Maxwell equations on curved domains, i.e., when affine or polynomial meshes fail to exactly cover the domain of interest. In such cases, one is forced to…

数值分析 · 数学 2022-01-05 Rubén Aylwin , Carlos Jerez-Hanckes

The strong coupling of quantum emitters to a cavity mode has been of paramount importance in the development of quantum optics. Recently, also the strong coupling to more than a single mode of an electromagnetic resonator has drawn…

量子物理 · 物理学 2024-01-17 Oliver Diekmann , Dmitry O. Krimer , Stefan Rotter

Essentially, the idea of improving the resolution of a given imaging system is to enhance its information capacity represented usually by the temporal-bandwidth (or, spatial-spectrum) product. This letter introduces the concept of…

光学 · 物理学 2014-03-21 Lianlin Li , Fang Li , Tiejun Cui

In this work we report a theoretical study of the lateral resolution granted by a simple glass microcylinder. In this 2D study, we had in mind the 3D analogue -- a microsphere whose ability to form a deeply subwavelength and strongly…

光学 · 物理学 2022-03-03 R. Heydarian , C. Simovski

We study numerically, by means of the pseudospectral time-domain method, the unique features of imaging by a flat lens made of a left-handed metamaterial that possesses the property of negative refraction. We confirm the earlier finding…

光学 · 物理学 2009-11-10 Michael W. Feise , Yuri S. Kivshar

The last decade has seen numerous efforts to achieve imaging resolution beyond that of the Abbe-Rayleigh diffraction limit. The main direction of research aiming to break this limit seeks to exploit the evanescent components containing fine…

光学 · 物理学 2015-05-13 Fu Min Huang , Nikolay I. Zheludev

A finite element method (FEM) for solving the complex valued k({\omega}) vs. {\omega} dispersion curve of a 3D metamaterial/photonic crystal system is presented. This 3D method is a generalization of a previously reported 2D eigenvalue…

材料科学 · 物理学 2015-05-28 Chris Fietz , Yaroslav Urzhumov , Gennady Shvets

We analyse wave propagation in two-dimensional bianisotropic media with the Finite Element Method (FEM). We start from the Maxwell-Tellegen's equations in bianisotropic media, and derive some system of coupled Partial Difference Equations…

光学 · 物理学 2016-12-21 Yan Liu , Boris Gralak , Sebastien Guenneau

Lenses that can collect the perfect image of an object must restore propagative and evanescent waves. However, for efficient information transfer, e.g., in compressed sensing, it is often desirable to detect only the fast spatial variations…

光学 · 物理学 2016-02-01 Miguel Molerón , Chiara Daraio

A virtual element method (VEM) with the first order optimal convergence order is developed for solving two-dimensional Maxwell interface problems on a special class of polygonal meshes that are cut by the interface from a background…

数值分析 · 数学 2022-02-17 Shuhao Cao , Long Chen , Ruchi Guo

Large-scale metasurfaces promise nanophotonic performance improvements to macroscopic optics functionality, for applications from imaging to analog computing. Yet the size scale mismatch of centimeter-scale chips versus micron-scale…

计算物理 · 物理学 2023-08-21 Wenjin Xue , Hanwen Zhang , Abinand Gopal , Vladimir Rokhlin , Owen D. Miller

It is shown that perfect imaging of a point source both in near- and far-field regions contradicts electrodynamics although ``superlensing'' is impossible only in the far-field region. These general statements are illustrated by detailed…

材料科学 · 物理学 2007-05-23 C. Y. Li , J. M. Holt , A. L. Efros

We demonstrate that a deep neural network can significantly improve optical microscopy, enhancing its spatial resolution over a large field-of-view and depth-of-field. After its training, the only input to this network is an image acquired…

机器学习 · 计算机科学 2017-11-21 Yair Rivenson , Zoltan Gorocs , Harun Gunaydin , Yibo Zhang , Hongda Wang , Aydogan Ozcan