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In recent years, considerable progress has been made for the task of rigid object pose estimation from a single RGB-image, but achieving robustness to partial occlusions remains a challenging problem. Pose refinement via rendering has shown…

Computer Vision and Pattern Recognition · Computer Science 2020-05-15 Lucas Brynte , Fredrik Kahl

Real-space imaging of three-dimensional atomic structures is a critical yet challenging task in materials science. Although scanning transmission electron microscopy has achieved sub-angstrom lateral resolution through techniques like…

Fourier ptychographi cmicroscopy(FPM) is a newly developed computational imaging technique that can provide gigapixel images with both high resolution (HR) and wide field of view (FOV). However, the positional misalignment of the LED array…

Computer Vision and Pattern Recognition · Computer Science 2018-09-03 Ao Zhou , Wei Wang , Ni Chen , Edmund Y. Lam , Byoungho Lee , Guohai Situ

While in situ experiments are gaining importance for the (mechanical) assessment of metamaterials or materials with complex microstructures, imaging conditions in such experiments are often challenging. The lab-based computed tomography…

Large field-of-view fisheye lens cameras have attracted more and more researchers' attention in the field of robotics. However, there does not exist a convenient off-the-shelf stereo rectification approach which can be applied directly to…

Computer Vision and Pattern Recognition · Computer Science 2017-07-13 Dingfu Zhou , Yuchao Dai , Hongdong Li

An all optical implementation of pulse reconstruction using time-domain ptychography is demonstrated showing excellent results. Setup and reconstruction are easy to implement and a number of drawbacks found in other second order techniques…

A method is proposed for high-resolution, three-dimensional reconstruction of internal structure of objects from planar transmission images. The described approach can be used with any form of radiation or matter waves, in principle,…

Optics · Physics 2022-08-24 T. E. Gureyev , H. M. Quiney , L. J. Allen

Image distortion correction is a critical pre-processing step for a variety of computer vision and image processing algorithms. Standard real-time software implementations are generally not suited for direct hardware porting, so…

Computer Vision and Pattern Recognition · Computer Science 2016-11-01 Paolo Di Febbo , Stefano Mattoccia , Carlo Dal Mutto

Idier et al. [IEEE Trans. Comput. Imaging 4(1), 2018] propose a method which achieves superresolution in the microscopy setting by leveraging random speckle illumination and knowledge about statistical second order moments for the…

Signal Processing · Electrical Eng. & Systems 2022-02-02 Osman Asif Malik , Venkatalakshmi Vyjayanthi Narumanchi , Stephen Becker , Todd W. Murray

We present a novel approach to background subtraction that is based on the local shape of small image regions. In our approach, an image region centered on a pixel is mod-eled using the local self-similarity descriptor. We aim at obtaining…

Computer Vision and Pattern Recognition · Computer Science 2012-05-18 Jean-Philippe Jodoin , Guillaume-Alexandre Bilodeau , Nicolas Saunier

Low-light images, i.e. the images captured in low-light conditions, suffer from very poor visibility caused by low contrast, color distortion and significant measurement noise. Low-light image enhancement is about improving the visibility…

Image and Video Processing · Electrical Eng. & Systems 2020-07-08 Jinxiu Liang , Yong Xu , Yuhui Quan , Jingwen Wang , Haibin Ling , Hui Ji

Scanning probe microscopy (SPM) is ubiquitous in nanoscale science allowing the observation of features in real space down to the angstrom resolution. The scanning nature of SPM, wherein a sharp tip rasters the surface during which a…

Instrumentation and Detectors · Physics 2024-11-20 Maxime Le Ster , Sławomir Pawłowski , Iaroslav Lutsyk , Paweł Janusz Kowalczyk

A set of orthonormal polynomials is proposed for image reconstruction from projection data. The relationship between the projection moments and image moments is discussed in detail, and some interesting properties are demonstrated.…

Computer Vision and Pattern Recognition · Computer Science 2014-03-14 Huazhong Shu , Jian Zhou , Guo-Niu Han , Limin M. Luo , Jean-Louis Coatrieux

Scanning transmission X-ray microscopy and ptychography have become mature tools for high-resolution, element-specific imaging of nanoscale structures. However, transmission geometries impose stringent constraints on sample thickness and…

Polarized X-rays allow for imaging birefringent or dichroic properties of materials with nanometric resolution. To disentangle these properties from the electronic density, either a polarization analyzer or several measurements with…

As a promising lensless imaging method for distance objects, intensity interferometry imaging (III) had been suffering from the unreliable phase retrieval process, hindering the development of III for decades. Recently, the introduction of…

Optics · Physics 2021-02-11 Yuchen He , Yuan Yuan , Hui Chen , Huaibin Zheng , Jianbin Liu , Zhuo Xu

In many applications of tomography, the acquired projections are either limited in number or contain a significant amount of noise. In these cases, standard reconstruction methods tend to produce artifacts that can make further analysis…

Numerical Analysis · Mathematics 2016-04-11 D. M. Pelt , K. J. Batenburg

A new method to correct the emulsion deformation, mainly produced in the development process, is developed to recover the high accuracy of nuclear emulsion as a tracking device. The method is based on a precise photomask and a careful…

Instrumentation and Detectors · Physics 2015-06-11 M. Kimura , H. Ishida , H. Shibuya , S. Ogawa , T. Matsuo , C. Fukushima , G. Takahashi , K. Kuge , Y. Sato , I. Tezuka , S. Mikado

Ptychography is a promising phase retrieval technique for label-free quantitative phase imaging. Recent advances in phase retrieval algorithms witnessed the development of spectral methods, in order to accelerate gradient descent…

Optics · Physics 2021-04-07 Lorenzo Valzania , Jonathan Dong , Sylvain Gigan

The image subtraction method is a powerful tool to analyze the light variations in crowded fields. This method is able to achieve a nearly optimal differential photometry, even in very dense regions. However, image subtraction is not…

Astrophysics · Physics 2007-05-23 C. Alard