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Vectorial adaptive optics (V-AO) is a cutting-edge technique extending conventional AO into the vectorial domain encompassing both polarization and phase feedback correction for optical systems. However, previous V-AO approaches focus on…

Optics · Physics 2023-12-12 Yifei Ma , Zimo Zhao , Jiahe Cui , Jingyu Wang , Chao He

Whether to attract viewer attention to a particular object, give the impression of depth or simply reproduce human-like scene perception, shallow depth of field images are used extensively by professional and amateur photographers alike. To…

Computer Vision and Pattern Recognition · Computer Science 2019-10-01 Benjamin Busam , Matthieu Hog , Steven McDonagh , Gregory Slabaugh

Stereo matching provides depth estimation from binocular images for downstream applications. These applications mostly take video streams as input and require temporally consistent depth maps. However, existing methods mainly focus on the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Jiaxi Zeng , Chengtang Yao , Yuwei Wu , Yunde Jia

Set projection algorithms are a class of algorithms used in ptychography to help improve the quality of the reconstructed images. The set projection step is important because it helps to ensure that the reconstructed image satisfies the…

Signal Processing · Electrical Eng. & Systems 2023-11-21 Wenjie Mei , Andrew M. Maiden

Since specular reflection often exists in the real captured images and causes deviation between the recorded color and intrinsic color, specular reflection separation can bring advantages to multiple applications that require consistent…

Computer Vision and Pattern Recognition · Computer Science 2022-01-26 Sijia Wen , Yingqiang Zheng , Feng Lu

Recent advances in stereo matching have focused on accuracy, often at the cost of significantly increased model size. Traditionally, the community has regarded efficient models as incapable of zero-shot ability due to their limited…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Junpeng Jing , Weixun Luo , Ye Mao , Krystian Mikolajczyk

Stereoscopic cinema has seen a surge of activity in recent years, and for the first time all of the major Hollywood studios released 3-D movies in 2009. This is happening alongside the adoption of 3-D technology for sports broadcasting, and…

Computer Vision and Pattern Recognition · Computer Science 2015-06-22 Frédéric Devernay , Paul Beardsley

Adding more cameras to SLAM systems improves robustness and accuracy but complicates the design of the visual front-end significantly. Thus, most systems in the literature are tailored for specific camera configurations. In this work, we…

Robotics · Computer Science 2021-01-01 Juichung Kuo , Manasi Muglikar , Zichao Zhang , Davide Scaramuzza

The article presents the concept of network-centric conformal electro-optical systems construction with spherical field of view. It discusses abstract passive distributed electro-optical systems with focal array detectors based on a group…

Systems and Control · Computer Science 2011-10-11 A. V. Makarenko , A. V. Pravdivtsev

This paper presents a novel general-purpose guided stereo paradigm that mimics the active stereo principle by replacing the unreliable physical pattern projector with a depth sensor. It works by projecting virtual patterns consistent with…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Luca Bartolomei , Matteo Poggi , Fabio Tosi , Andrea Conti , Stefano Mattoccia

Polarized neutrons are a powerful probe to investigate magnetism in condensed matter on length scales from single atomic distances to micrometers. With the ongoing advancement of neutron optics, that allow to transport beams with increased…

Instrumentation and Detectors · Physics 2017-08-02 Jochen Stahn , Artur Glavic

The design of a plenoptic camera requires the combination of two dissimilar optical systems, namely a main lens and an array of microlenses. And while the construction process of a conventional camera is mainly concerned with focusing the…

Image and Video Processing · Electrical Eng. & Systems 2022-04-12 Tim Michels , Reinhard Koch

Fast and accurate eye tracking in a virtual reality or augmented reality headset could lead to better display performance and enable novel methods of user interaction with the system. However, it remains a challenge for a system to combine…

The advent of extremely large telescopes will bring unprecedented light-collecting power and spatial resolution, but it will also lead to a significant increase in the size and complexity of focal-plane instruments. The use of freeform…

The recent surge of interest in temporal modulation schemes to induce magnet-free non-reciprocity has inspired several exciting opportunities for photonic technology. Here, we investigate a scheme to realize free-space isolators and highly…

Optics · Physics 2018-03-14 Romain Fleury , Dimitrios L. Sounas , Andrea Alu

Light field imaging involves capturing both angular and spatial distribution of light; it enables new capabilities, such as post-capture digital refocusing, camera aperture adjustment, perspective shift, and depth estimation. Micro-lens…

Computer Vision and Pattern Recognition · Computer Science 2017-10-20 M. Zeshan Alam , Bahadir K. Gunturk

The challenge of image-based 3D reconstruction for glossy objects lies in separating diffuse and specular components on glossy surfaces from captured images, a task complicated by the ambiguity in discerning lighting conditions and material…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 Bojian Wu , Yifan Peng , Ruizhen Hu , Xiaowei Zhou

Stereoscopic projection mapping (PM) allows a user to see a three-dimensional (3D) computer-generated (CG) object floating over physical surfaces of arbitrary shapes around us using projected imagery. However, the current stereoscopic PM…

Computer Vision and Pattern Recognition · Computer Science 2021-10-18 Sorashi Kimura , Daisuke Iwai , Parinya Punpongsanon , Kosuke Sato

Achieving robust stereo 3D imaging under diverse illumination conditions is an important however challenging task, due to the limited dynamic ranges (DRs) of cameras, which are significantly smaller than real world DR. As a result, the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Juhyung Choi , Jinnyeong Kim , Seokjun Choi , Jinwoo Lee , Samuel Brucker , Mario Bijelic , Felix Heide , Seung-Hwan Baek

Dynamic stereo matching is the task of estimating consistent disparities from stereo videos with dynamic objects. Recent learning-based methods prioritize optimal performance on a single stereo pair, resulting in temporal inconsistencies.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Junpeng Jing , Ye Mao , Krystian Mikolajczyk