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Related papers: Compressive Time-of-Flight 3D Imaging Using Block-…

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Compressed sensing has been discussed separately in spatial and temporal domains. Compressive holography has been introduced as a method that allows 3D tomographic reconstruction at different depths from a single 2D image. Coded exposure is…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Zihao Wang , Leonidas Spinoulas , Kuan He , Huaijin Chen , Lei Tian , Aggelos K. Katsaggelos , Oliver Cossairt

A time-of-flight (ToF) imaging system is proposed and its working principle demonstrated. To realize this system, a new device, a free-space optical mixer, is designed and fabricated. A scene is illuminated (flashed) with a megahertz level…

Depth images captured by Time-of-Flight (ToF) sensors are prone to noise, requiring denoising for reliable downstream applications. Previous works either focus on single-frame processing, or perform multi-frame processing without…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Weida Wang , Changyong He , Jin Zeng , Di Qiu

Time-of-flight (TOF) cameras are sensors that can measure the depths of scene-points, by illuminating the scene with a controlled laser or LED source, and then analyzing the reflected light. In this paper, we will first describe the…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Radu Horaud , Miles Hansard , Georgios Evangelidis , Clement Menier

In this work, we propose a method for three-dimensional (3D) reconstruction of wide crime scene, based on a Simultaneous Localization and Mapping (SLAM) approach. We used a Kinect V2 Time-of-Flight (TOF) RGB-D camera to provide colored…

Computer Vision and Pattern Recognition · Computer Science 2017-08-08 Silvio Giancola , Daniele Piron , Pasquale Poppa , Remo Sala

Indirect Time-of-Flight (iToF) cameras are a widespread type of 3D sensor, which perform multiple captures to obtain depth values of the captured scene. While recent approaches to correct iToF depths achieve high performance when removing…

Computer Vision and Pattern Recognition · Computer Science 2022-10-20 Michael Schelling , Pedro Hermosilla , Timo Ropinski

Passive Time-of-Flight (ToF) imaging can be enabled by optical wireless communication (OWC). The lighting infrastructure is the backbone of emerging light-based wireless communication. To this end, communication sources are used as…

Signal Processing · Electrical Eng. & Systems 2023-07-18 Faisal Ahmed , Miguel Heredia Conde , Paula López Martínez

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

We present a novel spatio-temporal reuse framework for time-resolved light transport, enabling efficient Monte Carlo rendering of time-of-flight (ToF) phenomena such as time-gated imaging and transient light capture. Existing ToF rendering…

Graphics · Computer Science 2026-05-13 Juhyeon Kim , Wojciech Jarosz , Adithya Pediredla

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 cameras provide depth information, which is complementary to the photometric appearance of the scene in ordinary images. It is desirable to merge the depth and colour information, in order to obtain a coherent scene…

Computer Vision and Pattern Recognition · Computer Science 2020-12-18 Miles Hansard , Georgios Evangelidis , Quentin Pelorson , Radu Horaud

Time-of-flight (ToF) 3D imaging has a wealth of applications, from industrial inspection to movement tracking and gesture recognition. Depth information is recovered by measuring the round-trip flight time of laser pulses, which usually…

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

Scene motion, multiple reflections, and sensor noise introduce artifacts in the depth reconstruction performed by time-of-flight cameras. We propose a two-stage, deep-learning approach to address all of these sources of artifacts…

Computer Vision and Pattern Recognition · Computer Science 2018-07-30 Qi Guo , Iuri Frosio , Orazio Gallo , Todd Zickler , Jan Kautz

Time-of-flight (ToF) cameras are becoming increasingly popular for 3D imaging. Their optimal usage has been studied from the several aspects. One of the open research problems is the possibility of a multicamera interference problem when…

Computer Vision and Pattern Recognition · Computer Science 2020-11-09 Tomislav Pribanic , Tomislav Petkovic , David Bojanic , Kristijan Bartol

Time-of-flight (TOF) cameras are based on a new technology that delivers distance maps by the use of a modulated light source. In this paper we first describe a set of experiments that we performed with TOF cameras. We then propose a noise…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Dragos Falie , Vasile Buzuloiu

Long-distance depth imaging holds great promise for applications such as autonomous driving and robotics. Direct time-of-flight (dToF) imaging offers high-precision, long-distance depth sensing, yet demands ultra-short pulse light sources…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Manchao Bao , Shengjiang Fang , Tao Yue , Xuemei Hu

Indirect Time-of-Flight cameras (iToF) are low-cost devices that provide depth images at an interactive frame rate. However, they are affected by different error sources, with the spotlight taken by Multi-Path Interference (MPI), a key…

Computer Vision and Pattern Recognition · Computer Science 2021-11-30 Adriano Simonetto , Gianluca Agresti , Pietro Zanuttigh , Henrik Schäfer

3D time-of-flight (ToF) imaging is used in a variety of applications such as augmented reality (AR), computer interfaces, robotics and autonomous systems. Single-photon avalanche diodes (SPADs) are one of the enabling technologies providing…

Image and Video Processing · Electrical Eng. & Systems 2021-10-13 Germán Mora-Martín , Alex Turpin , Alice Ruget , Abderrahim Halimi , Robert Henderson , Jonathan Leach , Istvan Gyongy

Indirect Time-of-Flight (iToF) cameras are a promising depth sensing technology. However, they are prone to errors caused by multi-path interference (MPI) and low signal-to-noise ratio (SNR). Traditional methods, after denoising, mitigate…

Computer Vision and Pattern Recognition · Computer Science 2021-12-22 Felipe Gutierrez-Barragan , Huaijin Chen , Mohit Gupta , Andreas Velten , Jinwei Gu