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Structural coloration is commonly modeled using wave optics for reliable and photorealistic rendering of natural, quasi-periodic and complex nanostructures. Such models often rely on dense, preliminary or preprocessed data to accurately…

Graphics · Computer Science 2025-07-03 Narayan Kandel , Daljit Singh J. S. Dhillon

Pixel size in cameras and other refractive imaging devices is typically limited by the free-space diffraction. However, a vast majority of semiconductor-based detectors are based on materials with substantially high refractive index. We…

Optics · Physics 2018-03-28 Bo Fan , Sandeep Inampudi , Viktor A. Podolskiy

Reflectometry is a technique that uses the light reflected by a sample to determine properties of the sample. Interferometric reflectometry uses interference between two beams, one of which is incident on ---and reflected back by--- a…

Optics · Physics 2019-10-10 Alexander Nahmad-Rohen , Wolfgang Langbein

Coherent diffractive imaging (CDI) is widely used to characterize structured samples from measurements of diffracting intensity patterns. We introduce a numerical framework to quantify the precision that can be achieved when estimating any…

Optics · Physics 2021-01-08 Dorian Bouchet , Jacob Seifert , Allard P. Mosk

We develop a quantum statistical framework for passive optical surface metrology. Modelling a surface as an incoherent ensemble of point emitters imaged through a diffraction-limited system, we employ techniques from quantum parameter…

Quantum Physics · Physics 2026-03-12 Jernej Frank , George Brumpton , Tommaso Tufarelli , Gerardo Adesso , Samanta Piano

Detection of surface defects is one of the most important issues in the field of image processing and machine vision. In this article, a method for detecting surface defects based on energy changes in co-occurrence matrices is presented.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-17 Nandara K. Krishnand , Akshakhi Kumar Pritoonka , Faeze Kiani

3D scene reconstruction from 2D images has been a long-standing task. Instead of estimating per-frame depth maps and fusing them in 3D, recent research leverages the neural implicit surface as a unified representation for 3D reconstruction.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Xinyi Yu , Liqin Lu , Jintao Rong , Guangkai Xu , Linlin Ou

We propose a differentiable sphere tracing algorithm to bridge the gap between inverse graphics methods and the recently proposed deep learning based implicit signed distance function. Due to the nature of the implicit function, the…

Computer Vision and Pattern Recognition · Computer Science 2020-06-12 Shaohui Liu , Yinda Zhang , Songyou Peng , Boxin Shi , Marc Pollefeys , Zhaopeng Cui

We propose a light-sheet based plane-selective fabrication technique that enables fabrication of nano-electronic/nano-fluidic components (nano-wires, nano-waveguides, nano-gratings and nano-channels) with specificity, selectivity on a…

Applied Physics · Physics 2018-09-17 Kavya Mohan , Partha Pratim Mondal

Due to the large surface-to-volume ratio, surface trap states play a dominant role in the optoelectronic properties of nanoscale devices(1-6). Understanding the surface trap states allows us to properly engineer the device surfaces for…

Mesoscale and Nanoscale Physics · Physics 2015-05-07 Yaping Dan

Computational photography encompasses a diversity of imaging techniques, but one of the core operations performed by many of them is to compute image differences. An intuitive approach to computing such differences is to capture several…

Computer Vision and Pattern Recognition · Computer Science 2017-05-22 Clara Callenberg , Felix Heide , Gordon Wetzstein , Matthias Hullin

In this paper we present a differential approach to photo-polarimetric shape estimation. We propose several alternative differential constraints based on polarisation and photometric shading information and show how to express them in a…

Computer Vision and Pattern Recognition · Computer Science 2017-08-28 Silvia Tozza , William A. P. Smith , Dizhong Zhu , Ravi Ramamoorthi , Edwin R. Hancock

Stairs are common building structures in urban environments, and stair detection is an important part of environment perception for autonomous mobile robots. Most existing algorithms have difficulty combining the visual information from…

Computer Vision and Pattern Recognition · Computer Science 2022-12-12 Chen Wang , Zhongcai Pei , Shuang Qiu , Zhiyong Tang

X-ray security screening is in widespread use to maintain transportation security against a wide range of potential threat profiles. Of particular interest is the recent focus on the use of automated screening approaches, including the…

Computer Vision and Pattern Recognition · Computer Science 2019-11-20 Neelanjan Bhowmik , Yona Falinie A. Gaus , Samet Akcay , Jack W. Barker , Toby P. Breckon

By using scattering in near field techniques, a microscope can be easily turned into a device measuring static and dynamic light scattering, very useful for the characterization of nanoparticle dispersions. Up to now, microscopy based…

Optics · Physics 2015-05-13 D. Brogioli , D. Salerno , V. Cassina , F. Mantegazza

Segmentation of multiple surfaces in medical images is a challenging problem, further complicated by the frequent presence of weak boundary and mutual influence between adjacent objects. The traditional graph-based optimal surface…

Computer Vision and Pattern Recognition · Computer Science 2020-07-22 Hui Xie , Zhe Pan , Leixin Zhou , Fahim A Zaman , Danny Chen , Jost B Jonas , Yaxing Wang , Xiaodong Wu

Label-free imaging of rapidly moving, sub-diffraction sized structures has important applications in both biology and material science, as it removes the limitations associated with fluorescence tagging. However, unlabeled nanoscale…

3D engineering of matter has opened up new avenues for designing systems that can perform various computational tasks through light-matter interaction. Here, we demonstrate the design of optical networks in the form of multiple diffractive…

Computer Vision and Pattern Recognition · Computer Science 2021-03-29 Jingxi Li , Deniz Mengu , Nezih T. Yardimci , Yi Luo , Xurong Li , Muhammed Veli , Yair Rivenson , Mona Jarrahi , Aydogan Ozcan

Understanding structure-function relationships is essential to advance the manufacturing of next-gen materials with desired properties and functionalities. Precise and rapid measurement of features like wrinkle size, droplet diameter, and…

Applied Physics · Physics 2025-05-08 André Guerra , Ziheng Wang , Samuel Mathews , Alejandro D. Rey , Kevin De France