2019
DOI: 10.1109/access.2019.2891693
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 pro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
32
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 85 publications
(32 citation statements)
references
References 176 publications
(178 reference statements)
0
32
0
Order By: Relevance
“…The emitted illumination signal amplitude is usually modulated using a sine or square wave [18]. The periodicity of the waves implies a maximum scanning range at half of the modulation wavelength, after which an ambiguity problem arises [65]. Increasing the modulation frequency increases the measurement accuracy but shortens the maximum range [70].…”
Section: Time-of-flightmentioning
confidence: 99%
“…The emitted illumination signal amplitude is usually modulated using a sine or square wave [18]. The periodicity of the waves implies a maximum scanning range at half of the modulation wavelength, after which an ambiguity problem arises [65]. Increasing the modulation frequency increases the measurement accuracy but shortens the maximum range [70].…”
Section: Time-of-flightmentioning
confidence: 99%
“…Several research have reported the influence of the temperature for the ToF camera [ 7 , 15 , 35 ]. In this paper, the main components related to temperature error in the PMD Lidar were further classified into three parts, which are the ToF sensor, the illumination driver and the external circuit, as discussed in Section 2.2.2 .…”
Section: Methodsmentioning
confidence: 99%
“…Sensors 2020, 20, x FOR PEER REVIEW 10 of 22 (7). The ambient light correction factor KAL is calculated by Equation 13:…”
Section: Demodulation Error Correctionmentioning
confidence: 99%
See 1 more Smart Citation
“…1,2 The raw depth data directly obtained by the TOF camera usually suffer from systematic and nonsystematic errors, as is shown in Figure 1. Systematic errors include integral time error, 3,4 amplitude ambiguity error, 5 and temperature drift error. 6 Nonsystematic errors include light scattering error, 7 boundary ambiguity error, 8 multipath reflection error, 9 phase wiggling error, 10 and motion blur error.…”
Section: Introductionmentioning
confidence: 99%