Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera

Three-dimensional (3D) data acquisition and real-time processing is a critical issue in an artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision sensor for obtaining depth images has now received wide attention, due to its great potential in many areas, such as 3...

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Main Authors: Yu He, Shengyong Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8606938/
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spelling doaj-de6f3472837e400897617cebb9844d912021-03-29T22:30:56ZengIEEEIEEE Access2169-35362019-01-017124951251010.1109/ACCESS.2019.28916938606938Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight CameraYu He0Shengyong Chen1https://orcid.org/0000-0002-6705-3831College of Computer Science and Technology, Zhejiang University of Technology, Zhejiang, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Zhejiang, ChinaThree-dimensional (3D) data acquisition and real-time processing is a critical issue in an artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision sensor for obtaining depth images has now received wide attention, due to its great potential in many areas, such as 3D perception, computer vision, robot navigation, human-machine interaction, augmented reality, and so on. This paper survey advances in TOF imaging technology mainly from the last decade. We focus only on recent progress of overcoming limitations such as systematic errors, object boundary ambiguity, multipath error, phase wrapping, and motion blur, and address the theoretical principles and future research trends as well.https://ieeexplore.ieee.org/document/8606938/Vision sensortime of flightdepth imagesensing devicecomputer vision3D vision
collection DOAJ
language English
format Article
sources DOAJ
author Yu He
Shengyong Chen
spellingShingle Yu He
Shengyong Chen
Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera
IEEE Access
Vision sensor
time of flight
depth image
sensing device
computer vision
3D vision
author_facet Yu He
Shengyong Chen
author_sort Yu He
title Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera
title_short Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera
title_full Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera
title_fullStr Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera
title_full_unstemmed Recent Advances in 3D Data Acquisition and Processing by Time-of-Flight Camera
title_sort recent advances in 3d data acquisition and processing by time-of-flight camera
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Three-dimensional (3D) data acquisition and real-time processing is a critical issue in an artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision sensor for obtaining depth images has now received wide attention, due to its great potential in many areas, such as 3D perception, computer vision, robot navigation, human-machine interaction, augmented reality, and so on. This paper survey advances in TOF imaging technology mainly from the last decade. We focus only on recent progress of overcoming limitations such as systematic errors, object boundary ambiguity, multipath error, phase wrapping, and motion blur, and address the theoretical principles and future research trends as well.
topic Vision sensor
time of flight
depth image
sensing device
computer vision
3D vision
url https://ieeexplore.ieee.org/document/8606938/
work_keys_str_mv AT yuhe recentadvancesin3ddataacquisitionandprocessingbytimeofflightcamera
AT shengyongchen recentadvancesin3ddataacquisitionandprocessingbytimeofflightcamera
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