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This Letter presents a novel structured light system model that effectively considers local lens distortion by pixel-wise rational functions. We leverage the stereo method for initial calibration and then estimate the rational model for…

Optics · Physics 2023-05-15 Raúl Vargas , Lenny A. Romero , Song Zhang , Andres G. Marrugo

Deep learning techniques have enabled rapid progress in monocular depth estimation, but their quality is limited by the ill-posed nature of the problem and the scarcity of high quality datasets. We estimate depth from a single camera by…

Computer Vision and Pattern Recognition · Computer Science 2019-08-15 Rahul Garg , Neal Wadhwa , Sameer Ansari , Jonathan T. Barron

Single-photon-level imaging at 1550 nm is a key driver for significant advancements in the next-generation laser detection technology. This cutting-edge approach plays a vital role in space ranging, target recognition, and three-dimensional…

Single-pixel imaging (SPI) is a novel optical imaging technique by replacing the pixelated sensor array in a conventional camera with a single-pixel detector. In previous works, SPI is usually used for capturing object images or performing…

Computer Vision and Pattern Recognition · Computer Science 2022-10-13 Wei Huang , Jiaxiang Li , Shuming Jiao , Zibang Zhang

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

Stereo Matching is one of the classical problems in computer vision for the extraction of 3D information but still controversial for accuracy and processing costs. The use of matching techniques and cost functions is crucial in the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-31 Hamid Fsian , Vahid Mohammadi , Pierre Gouton , Saeid Minaei

Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable. To eliminate such restrictions, we propose an efficient principled variational approach to…

Computer Vision and Pattern Recognition · Computer Science 2019-08-29 Bjoern Haefner , Zhenzhang Ye , Maolin Gao , Tao Wu , Yvain Quéau , Daniel Cremers

The representation of parallax on virtual environment is still a problem to be studied. Common algorithms, such as Bump Mapping, Parallax Mapping and Displacement Mapping, treats this problem for small disparity between a real object and a…

Graphics · Computer Science 2024-02-27 Alexandre Yip Gonçalves Dias , Marcelo Knörich Zuffo

Correlated states of light, both classical and quantum, can find useful applications in the implementation of several imaging techniques. Among the employed sources, pseudo-thermal states, generated by the passage of a laser beam through a…

Quantum Physics · Physics 2024-03-18 Silvia Cassina , Gabriele Cenedese , Alessia Allevi , Maria Bondani

We propose spatial polarization multiplexing (SPM) for joint sensing of shape and reflectance of a static or dynamic deformable object, which is also invisible to the naked eye. Past structured-light methods are limited to shape acquisition…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Tomoki Ichikawa , Ryo Kawahara , Ko Nishino

Quantum illumination uses quantum correlations to enhance the detection of an object in the presence of background noise. This advantage has been shown to exist even if one uses non-optimal direct measurements on the two correlated modes.…

Quantum Physics · Physics 2023-11-06 Thomas Brougham , Nigam Samantaray , John Jeffers

Single-pixel imaging (SPI) is an emerging technique which has attracts wide attention in various research fields. However, restricted by the low reconstruction quality and large amount of measurements, the practical application is still in…

Image and Video Processing · Electrical Eng. & Systems 2018-11-09 Chao Deng , Xuemei Hu , Xiaoxu Li , Jinli Suo , Zhili Zhang , Qionghai Dai

Learning-based stereo matching has recently achieved promising results, yet still suffers difficulties in establishing reliable matches in weakly matchable regions that are textureless, non-Lambertian, or occluded. In this paper, we address…

Computer Vision and Pattern Recognition · Computer Science 2020-08-12 Jingyang Zhang , Yao Yao , Zixin Luo , Shiwei Li , Tianwei Shen , Tian Fang , Long Quan

Photometric stereo is a method for estimating the normal vectors of an object from images of the object under varying lighting conditions. Motivated by several recent works that extend photometric stereo to more general objects and lighting…

Computer Vision and Pattern Recognition · Computer Science 2017-10-03 Andrew J. Wagenmaker , Brian E. Moore , Raj Rao Nadakuditi

We propose a novel approach for fast and accurate stereo visual Simultaneous Localization and Mapping (SLAM) independent of feature detection and matching. We extend monocular Direct Sparse Odometry (DSO) to a stereo system by optimizing…

Robotics · Computer Science 2021-12-06 Jiawei Mo , Md Jahidul Islam , Junaed Sattar

Pseudoscopic images that keep the continuous parallax are shown to be possible due to a double diffraction process intermediated by a slit. One diffraction grating acts as a wavelength encoder of views while a second diffraction grating…

Optics · Physics 2015-06-26 Jose J. Lunazzi , Noemi I. Rivera

Stereo-based depth estimation is a cornerstone of computer vision, with state-of-the-art methods delivering accurate results in real time. For several applications such as autonomous navigation, however, it may be useful to trade accuracy…

Computer Vision and Pattern Recognition · Computer Science 2020-06-02 Abhishek Badki , Alejandro Troccoli , Kihwan Kim , Jan Kautz , Pradeep Sen , Orazio Gallo

State-of-the-art supervised stereo matching methods have achieved remarkable performance on various benchmarks. However, their generalization to real-world scenarios remains challenging due to the scarcity of annotated real-world stereo…

Computer Vision and Pattern Recognition · Computer Science 2025-07-30 Xianqi Wang , Hao Yang , Gangwei Xu , Junda Cheng , Min Lin , Yong Deng , Jinliang Zang , Yurui Chen , Xin Yang

We report an experimental demonstration of sub-wavelength interference without correlation. Typically, people can achieve sub-wavelength effect with correlation measurement no matter by using bi-photon or thermal light sources. Here we…

Optics · Physics 2019-03-12 Ling-Yu Dou , De-Zhong Cao , De-Qin Xu , Xin-Bing Song

We present a technique called single-pixel imaging camera based on complementary detection and optimized Bernoulli modulation (CSPI camera), which can significantly reduce the influence of the disturbance light to single-pixel imaging…

Optics · Physics 2022-04-19 Wenlin Gong
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