Title
Distance Error Correction in Time-of-Flight Cameras Using Asynchronous Integration Time.
Abstract
A distance map captured using a time-of-flight (ToF) depth sensor has fundamental problems, such as ambiguous depth information in shiny or dark surfaces, optical noise, and mismatched boundaries. Severe depth errors exist in shiny and dark surfaces owing to excess reflection and excess absorption of light, respectively. Dealing with this problem has been a challenge due to the inherent hardware limitations of ToF, which measures the distance using the number of reflected photons. This study proposes a distance error correction method using three ToF sensors, set to different integration times to address the ambiguity in depth information. First, the three ToF depth sensors are installed horizontally at different integration times to capture distance maps at different integration times. Given the amplitude maps and error regions are estimated based on the amount of light, the estimated error regions are refined by exploiting the accurate depth information from the neighboring depth sensors that use different integration times. Moreover, we propose a new optical noise reduction filter that considers the distribution of the depth information biased toward one side. Experimental results verified that the proposed method overcomes the drawbacks of ToF cameras and provides enhanced distance maps.
Year
DOI
Venue
2020
10.3390/s20041156
SENSORS
Keywords
Field
DocType
time-of-flight,optical noise reduction filter,asynchronous integration time,3D warping
Asynchronous communication,Photon,Absorption (electromagnetic radiation),Algorithm,Electronic engineering,Distance transform,Engineering,Time delay and integration,Time of flight,Amplitude,Ambiguity
Journal
Volume
Issue
ISSN
20
4
1424-8220
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Eu-Tteum Baek111.05
Hyungjeong Yang245547.05
Soo-Hyung Kim319149.03
Gueesang Lee420852.71
Hieyong Jeong500.34