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Related papers: Optical phase modulation by natural eye movements:…

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As we move through the world, the pattern of light projected on our eyes is complex and dynamic, yet we are still able to distinguish between moving and stationary objects. We propose that humans accomplish this by exploiting constraints…

Neurons and Cognition · Quantitative Biology 2025-05-14 Hope Lutwak , Bas Rokers , Eero P. Simoncelli

Coherent Diffractive Imaging is a lensless technique that allows imaging of matter at a spatial resolution not limited by lens aberrations. This technique exploits the measured diffraction pattern of a coherent beam scattered by periodic…

Computational Physics · Physics 2025-08-27 Alessandro Colombo , Davide Emilio Galli , Liberato De Caro , Francesco Scattarella , Elvio Carlino

Ring-core optical fibers have been designed to carry orbital angular momentum modes. We demonstrate the imaging of these modes, individually identifying modes separated temporally by only 30~ps. A single-pixel camera operating in the…

Optics · Physics 2019-08-23 Steven D. Johnson , Zelin Ma , Miles Padgett , Siddharth Ramachandran

Robust and accurate six degree-of-freedom tracking on portable devices remains a challenging problem, especially on small hand-held devices such as smartphones. For improved robustness and accuracy, complementary movement information from…

Computer Vision and Pattern Recognition · Computer Science 2020-06-25 Lassi Meronen , William J. Wilkinson , Arno Solin

Many biological and soft matter processes occur at high speeds in complex 3D environments, and developing imaging techniques capable of elucidating their dynamics is an outstanding experimental challenge. Here, we introduce Fourier…

Full-field swept-source optical coherence tomography (FF-SS-OCT) and laser Doppler holography (LDH) are two holographic imaging techniques presenting unique capabilities for ophthalmology. We report on interlaced FF-SS-OCT and LDH imaging…

Medical Physics · Physics 2022-03-01 Léo Puyo , Hendrik Spahr , Clara Pfäffle , Gereon Hüttmann , Dierck Hillmann

Depth cameras are emerging as a cornerstone modality with diverse applications that directly or indirectly rely on measured depth, including personal devices, robotics, and self-driving vehicles. Although time-of-flight (ToF) methods have…

Computer Vision and Pattern Recognition · Computer Science 2021-05-26 Seung-Hwan Baek , Noah Walsh , Ilya Chugunov , Zheng Shi , Felix Heide

Eye movements, blinking and other motion during the acquisition of optical coherence tomography (OCT) can lead to artifacts, when processed to OCT angiography (OCTA) images. Affected scans emerge as high intensity (white) or missing (black)…

Image and Video Processing · Electrical Eng. & Systems 2020-01-09 Julian Hossbach , Lennart Husvogt , Martin F. Kraus , James G. Fujimoto , Andreas K. Maier

The advent of the digital age has driven the development of coherent optical modems--devices that modulate the amplitude and phase of light in multiple polarization states. These modems transmit data through fiber optic cables that are…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Parsa Mirdehghan , Brandon Buscaino , Maxx Wu , Doug Charlton , Mohammad E. Mousa-Pasandi , Kiriakos N. Kutulakos , David B. Lindell

Phase is a fundamental resource for optical imaging but cannot be directly observed with intensity measurements. The existing methods to quantify a phase distribution rely on complex devices and structures. Here we experimentally…

Optics · Physics 2020-03-25 Tengfeng Zhu , Junyi Huang , Zhichao Ruan

With the introduction of spectral-domain optical coherence tomography (SDOCT), much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, there is a critical need…

Computer Vision and Pattern Recognition · Computer Science 2015-08-06 Yankui Sun , Tian Zhang , Yue Zhao , Yufan He

Eye-tracking is a vital technology for human-computer interaction, especially in wearable devices such as AR, VR, and XR. The realization of high-speed and high-precision eye-tracking using frame-based image sensors is constrained by their…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Hongwei Ren , Xiaopeng Lin , Hongxiang Huang , Yue Zhou , Bojun Cheng

Temporal feature extraction is an important issue in video-based action recognition. Optical flow is a popular method to extract temporal feature, which produces excellent performance thanks to its capacity of capturing pixel-level…

Computer Vision and Pattern Recognition · Computer Science 2020-05-07 Yuecong Xu , Jianfei Yang , Kezhi Mao , Jianxiong Yin , Simon See

This paper presents a novel multi-modal Multi-Object Tracking (MOT) algorithm for self-driving cars that combines camera and LiDAR data. Camera frames are processed with a state-of-the-art 3D object detector, whereas classical clustering…

Robotics · Computer Science 2024-05-14 Riccardo Pieroni , Simone Specchia , Matteo Corno , Sergio Matteo Savaresi

Optical Coherence Tomography Angiography (OCTA) is a non-invasive and non-contacting imaging technique providing visualization of microvasculature of retina and optic nerve head in human eyes in vivo. The adequate image quality of OCTA is…

Image and Video Processing · Electrical Eng. & Systems 2021-07-23 Yufei Wang , Yiqing Shen , Meng Yuan , Jing Xu , Bin Yang , Chi Liu , Wenjia Cai , Weijing Cheng , Wei Wang

Motion blur is a known issue in photography, as it limits the exposure time while capturing moving objects. Extensive research has been carried to compensate for it. In this work, a computational imaging approach for motion deblurring is…

Image and Video Processing · Electrical Eng. & Systems 2020-02-19 Shay Elmalem , Raja Giryes , Emanuel Marom

Advances in optical coherence tomography (OCT) have enabled noninvasive imaging of substructures of the human retina with high spatial resolution. OCT examinations are now a standard procedure in clinics and an integral part of ophthalmic…

Human-Computer Interaction · Computer Science 2022-12-22 Martin Röhlig , Oliver Stachs , Heidrun Schumann

Eye movements play a vital role in perceiving the world. Eye gaze can give a direct indication of the users point of attention, which can be useful in improving human-computer interaction. Gaze estimation in a non-intrusive manner can make…

Computer Vision and Pattern Recognition · Computer Science 2019-07-11 Anjith George

Objective: The advent of Electronic Medical Records (EMR) with large electronic imaging databases along with advances in deep neural networks with machine learning has provided a unique opportunity to achieve milestones in automated image…

Machine Learning · Statistics 2016-12-16 Cecilia S. Lee , Doug M. Baughman , Aaron Y. Lee

Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of…