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相关论文: Mirrored Light Field Video Camera Adapter

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In the paper we present a low cost optical device which splits the light in the focal plane into two separate optical paths and collimates it back into a single image plane, and where a selective information processing ca be carried out.…

天体物理仪器与方法 · 物理学 2016-08-24 Adam Popowicz , Tomasz Blachowicz

A simple system to make stereo photography or videos based in just two mirrors was made in 1989 and recently adapted to a digital camera setup.

科普物理 · 物理学 2015-03-13 J. J. Lunazzi

A ground-layer adaptive optics system (GLAO) uses a single adaptive mirror to partially correct the wavefront for atmospheric and telescope aberrations over a wide field of view. Instead of reaching diffraction limit on a narrow field, the…

天体物理仪器与方法 · 物理学 2017-06-02 Donald Gavel

This paper considers a compressive multi-spectral light field camera model that utilizes a one-hot spectralcoded mask and a microlens array to capture spatial, angular, and spectral information using a single monochrome sensor. We propose a…

计算机视觉与模式识别 · 计算机科学 2025-03-18 Wen Cao , Ehsan Miandji , Jonas Unger

Tailoring the degrees of freedom (DoF) of light for a desired purpose, so-called structured light, has delivered numerous advances over the past decade, ranging from communications and quantum cryptography to optical trapping, and…

光学 · 物理学 2025-01-31 Sachleen Singh , Isaac Nape , Andrew Forbes

We propose a 3D latent representation that jointly models object geometry and view-dependent appearance. Most prior works focus on either reconstructing 3D geometry or predicting view-independent diffuse appearance, and thus struggle to…

计算机视觉与模式识别 · 计算机科学 2026-03-12 Jen-Hao Rick Chang , Xiaoming Zhao , Dorian Chan , Oncel Tuzel

Optical cavities with moving mirrors provide a versatile platform for exploring radiation-matter interactions and optically mediated mechanical effects, whose control has wide technological implications. However, capturing the coupled…

光学 · 物理学 2026-01-06 Francesco Lorenzi , Maria Guglielmina Pelizzo , Luca Salasnich

We introduce a camera pipeline for rendering visually pleasing photographs in low light conditions, as part of the NTIRE2022 Night Photography Rendering challenge. Given the nature of the task, where the objective is verbally defined by an…

计算机视觉与模式识别 · 计算机科学 2022-04-20 Simone Zini , Claudio Rota , Marco Buzzelli , Simone Bianco , Raimondo Schettini

We discuss design techniques for catadioptric sensors that realize given projections. In general, these problems do not have solutions, but approximate solutions may often be found that are visually acceptable. There are several methods to…

计算机视觉与模式识别 · 计算机科学 2007-05-23 R. Andrew Hicks

In recent years, visual sensors have been quickly improving, notably targeting richer acquisitions of the light present in a visual scene. In this context, the so-called lenslet light field (LLF) cameras are able to go beyond the…

图像与视频处理 · 电气工程与系统科学 2020-03-06 Catarina Brites , João Ascenso , Fernando Pereira

Due to hardware constraints, standard off-the-shelf digital cameras suffers from low dynamic range (LDR) and low frame per second (FPS) outputs. Previous works in high dynamic range (HDR) video reconstruction uses sequence of alternating…

图像与视频处理 · 电气工程与系统科学 2022-10-11 Zeeshan Khan , Parth Shettiwar , Mukul Khanna , Shanmuganathan Raman

We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting. Because multi-view images provide a variety of information about the scene,…

计算机视觉与模式识别 · 计算机科学 2023-03-28 JunYong Choi , SeokYeong Lee , Haesol Park , Seung-Won Jung , Ig-Jae Kim , Junghyun Cho

Radiance fields have revolutionized photo-realistic 3D scene visualization by enabling high-fidelity reconstruction of complex environments, making them an ideal match for light field displays. However, integrating these technologies…

Adaptive optics (AO) offers an opportunity to stabilize an image and maximize the spatial resolution achievable by ground based telescopes by removing the distortions due to the atmosphere. Typically, the deformable mirror in an AO system…

天体物理仪器与方法 · 物理学 2021-07-30 J. Fowler , Rachel Bowens-Rubin , Philip M. Hinz

Face detection in low light scenarios is challenging but vital to many practical applications, e.g., surveillance video, autonomous driving at night. Most existing face detectors heavily rely on extensive annotations, while collecting data…

计算机视觉与模式识别 · 计算机科学 2021-04-06 Wenjing Wang , Wenhan Yang , Jiaying Liu

This paper introduces Hazedefy, a lightweight and application-focused dehazing pipeline intended for real-time video and live camera feed enhancement. Hazedefy prioritizes computational simplicity and practical deployability on…

计算机视觉与模式识别 · 计算机科学 2025-12-19 Ayush Bhavsar

Recent advances in radiance fields enable photorealistic rendering of static or dynamic 3D scenes, but still do not support explicit deformation that is used for scene manipulation or animation. In this paper, we propose a method that…

计算机视觉与模式识别 · 计算机科学 2022-07-26 Tianhan Xu , Tatsuya Harada

We present a simple technique to produce active Q-switching in various types of fiber amplifiers by active integration of an electrostatic actuated deformable metallic micro-mirror. The optical MEMS (MOEMS) device acts as one of the laser…

其他计算机科学 · 计算机科学 2007-11-29 D. Bouyge , D. Sabourdy , A. Crunteanu , P. Blondy , V. Couderc , J. Lhermite , L. Grossard , A. Barthélemy

In this paper, we study the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. We show that such reflectors can be interpreted as a randomized mapping from the…

计算机视觉与模式识别 · 计算机科学 2014-12-30 Zhengdong Zhang , Phillip Isola , Edward H. Adelson

Recently, significant progress has been made in the study of methods for 3D reconstruction from multiple images using implicit neural representations, exemplified by the neural radiance field (NeRF) method. Such methods, which are based on…

计算机视觉与模式识别 · 计算机科学 2024-04-19 Wooseok Kim , Taiki Fukiage , Takeshi Oishi
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