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Related papers: Acquiring a Dynamic Light Field through a Single-S…

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Asynchronously operating event cameras find many applications due to their high dynamic range, vanishingly low motion blur, low latency and low data bandwidth. The field saw remarkable progress during the last few years, and existing…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Viktor Rudnev , Mohamed Elgharib , Christian Theobalt , Vladislav Golyanik

Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using…

Computer Vision and Pattern Recognition · Computer Science 2015-09-01 Changsoo Je , Kwang Hee Lee , Sang Wook Lee

Light field imaging has recently known a regain of interest due to the availability of practical light field capturing systems that offer a wide range of applications in the field of computer vision. However, capturing high-resolution light…

Computer Vision and Pattern Recognition · Computer Science 2018-01-16 Reuben A. Farrugia , Christine Guillemot

Light field photography captures rich structural information that may facilitate a number of traditional image processing and computer vision tasks. A crucial ingredient in such endeavors is accurate depth recovery. We present a novel…

Computer Vision and Pattern Recognition · Computer Science 2016-09-07 Mehdi S. M. Sajjadi , Rolf Köhler , Bernhard Schölkopf , Michael Hirsch

High-frequency demodulation of wide area optical signals in a snapshot manner is a technological challenge that, if solved, could open tremendous perspectives in 3D imaging, free-space communications, or even ballistic photon imaging in…

Instrumentation and Detectors · Physics 2020-02-19 Swapnesh Panigrahi , Julien Fade , Romain Agaisse , Hema Ramachandran , Mehdi Alouini

We introduce a novel depth estimation technique for multi-frame structured light setups using neural implicit representations of 3D space. Our approach employs a neural signed distance field (SDF), trained through self-supervised…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Rukun Qiao , Hiroshi Kawasaki , Hongbin Zha

The recently described pushframe imager, a parallelized single pixel camera capturing with a pushbroom-like motion, is intrinsically suited to both remote-sensing and compressive sampling. It optically applies a 2D mask to the imaged scene,…

Image and Video Processing · Electrical Eng. & Systems 2021-04-28 Stuart Bennett , Yoann Noblet , Paul F. Griffin , Paul Murray , Stephen Marshall , John Jeffers , Daniel Oi

Light fields are 4D scene representation typically structured as arrays of views, or several directional samples per pixel in a single view. This highly correlated structure is not very efficient to transmit and manipulate (especially for…

Computer Vision and Pattern Recognition · Computer Science 2021-03-23 Menghan Xia , Jose Echevarria , Minshan Xie , Tien-Tsin Wong

Complex-field imaging is indispensable for numerous applications at wavelengths from X-ray to THz, with amplitude describing transmittance (or reflectivity) and phase revealing intrinsic structure of the target object. Coherent diffraction…

Image and Video Processing · Electrical Eng. & Systems 2021-04-07 Meng Li , Liheng Bian , Guoan Zheng , Andrew Maiden , Yang Liu , Yiming Li , Qionghai Dai , Jun Zhang

We demonstrated a CMOS imaging system that adapts each pixel's exposure and sampling rate to capture high dynamic range (HDR) videos. The system consist of a custom designed image sensor with pixel-wise exposure configurability and a…

Image and Video Processing · Electrical Eng. & Systems 2019-06-25 Jie , Zhang , Jonathan P. Newman , Xiao Wang , Chetan Singh Thakur , John Rattray , Ralph Etienne-Cummings , Matthew A. Wilson

A variety of techniques such as light field, structured illumination, and time-of-flight (TOF) are commonly used for depth acquisition in consumer imaging, robotics and many other applications. Unfortunately, each technique suffers from its…

Computer Vision and Pattern Recognition · Computer Science 2015-09-03 Suren Jayasuriya , Adithya Pediredla , Sriram Sivaramakrishnan , Alyosha Molnar , Ashok Veeraraghavan

We present ContinuityCam, a novel approach to generate a continuous video from a single static RGB image and an event camera stream. Conventional cameras struggle with high-speed motion capture due to bandwidth and dynamic range…

Computer Vision and Pattern Recognition · Computer Science 2025-04-25 Ziyun Wang , Friedhelm Hamann , Kenneth Chaney , Wen Jiang , Guillermo Gallego , Kostas Daniilidis

Common representations of light fields use four-dimensional data structures, where a given pixel is closely related not only to its spatial neighbours within the same view, but also to its angular neighbours, co-located in adjacent views.…

Image and Video Processing · Electrical Eng. & Systems 2022-02-03 João M. Santos , Lucas A. Thomaz , Pedro A. A. Assunção , Luís A. da Silva Cruz , Luís Távora , Sérgio M. M. Faria

We proposed a novel approach to coherent imaging of dynamic samples. The inter-frame similarity of the sample's local structures is found to be a powerful constraint in phasing a sequence of diffraction patterns. We devised a new image…

Optics · Physics 2024-07-11 Pengju Sheng , Fucai Zhang

Single-pixel imaging has emerged as a key technique in fluorescence microscopy, where fast acquisition and reconstruction are crucial. In this context, images are reconstructed from linearly compressed measurements. In practice, total…

Image and Video Processing · Electrical Eng. & Systems 2025-07-28 Serban C. Tudosie , Valerio Gandolfi , Shivaprasad Varakkoth , Andrea Farina , Cosimo D'Andrea , Simon Arridge

Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of coded projections using a spatial light modulator (e.g., a digital micro-mirror device) and a few optical sensors. This approach finds use in imaging…

Computer Vision and Pattern Recognition · Computer Science 2015-08-06 Aswin C. Sankaranarayanan , Lina Xu , Christoph Studer , Yun Li , Kevin Kelly , Richard G. Baraniuk

There is a general expectation that robots should operate in urban environments often consisting of potentially dynamic entities including people, furniture and automobiles. Dynamic objects pose challenges to visual SLAM algorithms by…

Robotics · Computer Science 2020-12-22 Pushyami Kaveti , Hanumant Singh

Traditional CMOS sensors suffer from restricted dynamic range and sub optimal performance under extreme lighting conditions. They are affected by electronic noise in low light conditions and pixel saturation while capturing high…

Image and Video Processing · Electrical Eng. & Systems 2024-12-18 Sumit Sharma , Girish Rongali , Kaushik Mitra

Outdoor lighting has extremely high dynamic range. This makes the process of capturing outdoor environment maps notoriously challenging since special equipment must be used. In this work, we propose an alternative approach. We first capture…

Computer Vision and Pattern Recognition · Computer Science 2017-11-08 Jinsong Zhang , Jean-François Lalonde

Recent imaging technologies are rapidly evolving for sampling richer and more immersive representations of the 3D world. And one of the emerging technologies are light field (LF) cameras based on micro-lens arrays. To record the directional…

Computer Vision and Pattern Recognition · Computer Science 2018-07-27 Jie Chen , Junhui Hou , Lap-Pui Chau