English
Related papers

Related papers: A Mega-FPS low light camera

200 papers

The correlation properties of light provide an outstanding tool to overcome the limitations of traditional imaging techniques. A relevant case is represented by correlation plenoptic imaging (CPI), a quantum-inspired volumetric imaging…

Accurate calibration is crucial for using multiple cameras to triangulate the position of objects precisely. However, it is also a time-consuming process that needs to be repeated for every displacement of the cameras. The standard approach…

Robotics · Computer Science 2024-04-04 Thomas Gossard , Andreas Ziegler , Levin Kolmar , Jonas Tebbe , Andreas Zell

We introduce a conceptual framework for a lensless imaging system which employs an active metasurface as a high-frequency, continuously tunable amplitude and phase modulation aperture, coupled to a discrete single-pixel detector. Using an…

Optics · Physics 2024-11-14 Julie Belleville , Prachi Thureja , Harry A. Atwater

Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Nyquist rate. Despite significant progress in the theory and methods of…

Computer Vision and Pattern Recognition · Computer Science 2013-06-27 Aswin C Sankaranarayanan , Pavan K Turaga , Rama Chellappa , Richard G Baraniuk

Videos captured by consumer cameras often exhibit temporal variations in color and tone that are caused by camera auto-adjustments like white-balance and exposure. When such videos are sub-sampled to play fast-forward, as in the…

Graphics · Computer Science 2017-10-02 Xuaner Cecilia Zhang , Joon-Young Lee , Kalyan Sunkavalli , Zhaowen Wang

We introduce a structured light system that enables full-frame 3D scanning at speeds of $1000\text{ fps}$, four times faster than the previous fastest systems. Our key innovation is the use of a custom acousto-optic light scanning device…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Dhawal Sirikonda , Praneeth Chakravarthula , Ioannis Gkioulekas , Adithya Pediredla

Slow shutter speed and long exposure time of frame-based cameras often cause visual blur and loss of inter-frame information, degenerating the overall quality of captured videos. To this end, we present a unified framework of event-based…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Xiang Zhang , Lei Yu

Camera-based physiological measurement is a growing field with neural models providing state-the-art-performance. Prior research have explored various "end-to-end" models; however these methods still require several preprocessing steps.…

Computer Vision and Pattern Recognition · Computer Science 2022-12-20 Xin Liu , Brian L. Hill , Ziheng Jiang , Shwetak Patel , Daniel McDuff

Single-photon avalanche diodes (SPADs) are an emerging technology with a unique capability of capturing individual photons with high timing precision. SPADs are being used in several active imaging systems (e.g., fluorescence lifetime…

Image and Video Processing · Electrical Eng. & Systems 2019-04-25 Atul Ingle , Andreas Velten , Mohit Gupta

Recent advancements have integrated camera pose as a user-friendly and physics-informed condition in video diffusion models, enabling precise camera control. In this paper, we identify one of the key challenges as effectively modeling noisy…

Computer Vision and Pattern Recognition · Computer Science 2024-12-05 Guangcong Zheng , Teng Li , Rui Jiang , Yehao Lu , Tao Wu , Xi Li

Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot. A deep unrolling algorithm is utilised for the…

We propose a framework called ReFInE to directly obtain integral image estimates from a very small number of spatially multiplexed measurements of the scene without iterative reconstruction of any auxiliary image, and demonstrate their…

Computer Vision and Pattern Recognition · Computer Science 2016-01-28 Kuldeep Kulkarni , Pavan Turaga

We extend our previously proposed image reconstruction method, which allows confocal microscopes to capture periodically moving objects at frequencies beyond their frame rates, to three-dimensional and two-dimensional wide-field imaging.…

Optics · Physics 2026-03-03 Kanta Adachi , Soyoka Hemmi , Nobutomo Nakamura

High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to perceive dynamic 3D content at fine granularity. The acquisition of H2-Stereo video, however, remains challenging with commodity cameras. Existing spatial…

Computer Vision and Pattern Recognition · Computer Science 2022-08-05 Ming Cheng , Yiling Xu , Wang Shen , M. Salman Asif , Chao Ma , Jun Sun , Zhan Ma

With the evolving technology in CMOS integration, new classes of 2D-imaging detectors have recently become available. In particular, single photon avalanche diode (SPAD) arrays allow detection of single photons at high acquisition rates…

We demonstrate coherent anti-Stokes Raman scattering (CARS) microscopy with 1089 foci, enabled by a high repetition rate amplified oscillator and optical parametric amplifier. We employ a camera as multichannel detector to acquire and…

Optics · Physics 2024-08-27 Dominykas Gudavicius , Lukas Kontenis , Wolfgang Langbein

Microscopes face a trade-off between spatial resolution, field-of-view, and frame rate -- improving one of these properties typically requires sacrificing the others, due to the limited spatiotemporal throughput of the sensor. To overcome…

A Light Field (LF) camera consists of an additional two-dimensional array of micro-lenses placed between the main lens and sensor, compared to a conventional camera. The sensor pixels under each micro-lens receive light from a sub-aperture…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Suresh Nehra , Aupendu Kar , Jayanta Mukhopadhyay , Prabir Kumar Biswas

Photonic integration on plastic substrates enables emerging applications ranging from flexible interconnects to conformal sensors on biological tissues. Such devices are traditionally fabricated using pattern transfer, which is complicated…

Acquiring high-contrast optical images deep inside biological tissues is still a challenging problem. Confocal microscopy is an important tool for biomedical imaging since it improves image quality by rejecting background signals. However,…