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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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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1724191441297604608 |