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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

Time-of-Flight non-line-of-sight (ToF NLOS) imaging techniques provide state-of-the-art reconstructions of scenes hidden around corners by inverting the optical path of indirect photons scattered by visible surfaces and measured by…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Julio Marco , Adrian Jarabo , Ji Hyun Nam , Alberto Tosi , Diego Gutierrez , Andreas Velten

We introduce Doppler time-of-flight (D-ToF) rendering, an extension of ToF rendering for dynamic scenes, with applications in simulating D-ToF cameras. D-ToF cameras use high-frequency modulation of illumination and exposure, and measure…

Graphics · Computer Science 2023-10-06 Juhyeon Kim , Wojciech Jarosz , Ioannis Gkioulekas , Adithya Pediredla

Imaging through a strongly diffusive medium remains an outstanding challenge in particular in association with applications in biological and medical imaging. Here we propose a method based on a single-photon time-of-flight camera that…

Time of flight cameras may emerge as the 3-D sensor of choice. Today, time of flight sensors use phase-based sampling, where the phase delay between emitted and received, high-frequency signals encodes distance. In this paper, we present a…

Computer Vision and Pattern Recognition · Computer Science 2015-03-11 Achuta Kadambi , Vage Taamazyan , Suren Jayasuriya , Ramesh Raskar

3D Time-of-Flight camera's images are affected by errors due to the diffuse (indirect) light and to the flare light. The presented method improves the 3D image reducing the distance's errors to dark surface objects. This is achieved by…

Computer Vision and Pattern Recognition · Computer Science 2009-10-01 D. Falie

Range images captured by Time-of-Flight (ToF) cameras are corrupted with multipath distortions due to interaction between modulated light signals and scenes. The interaction is often complicated, which makes a model-based solution elusive.…

Computer Vision and Pattern Recognition · Computer Science 2016-02-24 Kilho Son , Ming-Yu Liu , Yuichi Taguchi

Time-of-flight (ToF) sensors provide an imaging modality fueling diverse applications, including LiDAR in autonomous driving, robotics, and augmented reality. Conventional ToF imaging methods estimate the depth by sending pulses of light…

Computer Vision and Pattern Recognition · Computer Science 2021-12-20 Seung-Hwan Baek , Felix Heide

Time-of-flight (ToF) imaging has become a widespread technique for depth estimation, allowing affordable off-the-shelf cameras to provide depth maps in real time. However, multipath interference (MPI) resulting from indirect illumination…

3D Time-of-Flight (ToF) image sensors are used widely in applications such as self-driving cars, Augmented Reality (AR) and robotics. When implemented with Single-Photon Avalanche Diodes (SPADs), compact, array format sensors can be made…

Image and Video Processing · Electrical Eng. & Systems 2023-03-22 Germán Mora Martín , Stirling Scholes , Alice Ruget , Robert K. Henderson , Jonathan Leach , Istvan Gyongy

Mass spectrometry is a widespread approach to work out what are the constituents of a material. Atoms and molecules are removed from the material and collected, and subsequently, a critical step is to infer their correct identities based…

Spatially and temporally highly resolved depth information enables numerous applications including human-machine interaction in gaming or safety functions in the automotive industry. In this paper, we address this issue using Time-of-flight…

Numerical Analysis · Mathematics 2018-12-27 Stephan Antholzer , Christoph Wolf , Michael Sandbichler , Markus Dielacher , Markus Haltmeier

Transient imaging or light-in-flight techniques capture the propagation of an ultra-short pulse of light through a scene, which in effect captures the optical impulse response of the scene. Recently, it has been shown that we can capture…

Computer Vision and Pattern Recognition · Computer Science 2015-12-22 Ryuichi Tadano , Adithya Kumar Pediredla , Kaushik Mitra , Ashok Veeraraghavan

Conventional endoscopes comprise a bundle of optical fibers, associating one fiber for each pixel in the image. In principle, this can be reduced to a single multimode optical fiber (MMF), the width of a human hair, with one fiber…

Image and Video Processing · Electrical Eng. & Systems 2023-07-13 Abdullah Abdulaziz , Simon Peter Mekhail , Yoann Altmann , Miles J. Padgett , Stephen McLaughlin

We propose a computational model for shape, illumination and albedo inference in a pulsed time-of-flight (TOF) camera. In contrast to TOF cameras based on phase modulation, our camera enables general exposure profiles. This results in added…

Computer Vision and Pattern Recognition · Computer Science 2015-07-23 Amit Adam , Christoph Dann , Omer Yair , Shai Mazor , Sebastian Nowozin

The small time gap of synchrotron radiation in conventional multi-bunch mode (100-500MHz) is prohibitive for time-of-flight (ToF) based electron spectroscopy. Even the new generation of delay-line detectors with improved time resolution…

Time-of-flight (ToF) cameras calculate depth maps by reconstructing phase shifts of amplitude-modulated signals. For broad illumination or transparent objects, reflections from multiple scene points can illuminate a given pixel, giving rise…

Computer Vision and Pattern Recognition · Computer Science 2014-06-20 Ayush Bhandari , Achuta Kadambi , Refael Whyte , Christopher Barsi , Micha Feigin , Adrian Dorrington , Ramesh Raskar

Indirect Time-of-Flight (I-ToF) imaging is a widespread way of depth estimation for mobile devices due to its small size and affordable price. Previous works have mainly focused on quality improvement for I-ToF imaging especially curing the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-17 HyunJun Jung , Nikolas Brasch , Ales Leonardis , Nassir Navab , Benjamin Busam

We aim to recover the geometry of 3D parametric scenes using very few depth measurements from low-cost, commercially available time-of-flight sensors. These sensors offer very low spatial resolution (i.e., a single pixel), but image a wide…

Computer Vision and Pattern Recognition · Computer Science 2025-09-22 Carter Sifferman , Yiquan Li , Yiming Li , Fangzhou Mu , Michael Gleicher , Mohit Gupta , Yin Li

Light scattering by tissue severely limits how deep beneath the surface one can image, and the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT) is one of the most powerful techniques for imaging deep…

Image and Video Processing · Electrical Eng. & Systems 2021-05-31 Yongyi Zhao , Ankit Raghuram , Hyun K. Kim , Andreas H. Hielscher , Jacob T. Robinson , Ashok Veeraraghavan