Depth Edge Filtering Using Parameterized Structured Light Imaging

This research features parameterized depth edge detection using structured light imaging that exploits a single color stripes pattern and an associated binary stripes pattern. By parameterized depth edge detection, we refer to the detection of all depth edges in a given range of distances with depth...

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Main Authors: Ziqi Zheng, Seho Bae, Juneho Yi
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/17/4/758
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author Ziqi Zheng
Seho Bae
Juneho Yi
author_facet Ziqi Zheng
Seho Bae
Juneho Yi
author_sort Ziqi Zheng
collection DOAJ
description This research features parameterized depth edge detection using structured light imaging that exploits a single color stripes pattern and an associated binary stripes pattern. By parameterized depth edge detection, we refer to the detection of all depth edges in a given range of distances with depth difference greater or equal to a specific value. While previous research has not properly dealt with shadow regions, which result in double edges, we effectively remove shadow regions using statistical learning through effective identification of color stripes in the structured light images. We also provide a much simpler control of involved parameters. We have compared the depth edge filtering performance of our method with that of the state-of-the-art method and depth edge detection from the Kinect depth map. Experimental results clearly show that our method finds the desired depth edges most correctly while the other methods cannot.
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spelling doaj.art-d5b97227cf344be1938f6cf12290946e2022-12-22T02:19:13ZengMDPI AGSensors1424-82202017-04-0117475810.3390/s17040758s17040758Depth Edge Filtering Using Parameterized Structured Light ImagingZiqi Zheng0Seho Bae1Juneho Yi2College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, KoreaCollege of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, KoreaCollege of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, KoreaThis research features parameterized depth edge detection using structured light imaging that exploits a single color stripes pattern and an associated binary stripes pattern. By parameterized depth edge detection, we refer to the detection of all depth edges in a given range of distances with depth difference greater or equal to a specific value. While previous research has not properly dealt with shadow regions, which result in double edges, we effectively remove shadow regions using statistical learning through effective identification of color stripes in the structured light images. We also provide a much simpler control of involved parameters. We have compared the depth edge filtering performance of our method with that of the state-of-the-art method and depth edge detection from the Kinect depth map. Experimental results clearly show that our method finds the desired depth edges most correctly while the other methods cannot.http://www.mdpi.com/1424-8220/17/4/758depth edge filterdepth detectionstructured light
spellingShingle Ziqi Zheng
Seho Bae
Juneho Yi
Depth Edge Filtering Using Parameterized Structured Light Imaging
Sensors
depth edge filter
depth detection
structured light
title Depth Edge Filtering Using Parameterized Structured Light Imaging
title_full Depth Edge Filtering Using Parameterized Structured Light Imaging
title_fullStr Depth Edge Filtering Using Parameterized Structured Light Imaging
title_full_unstemmed Depth Edge Filtering Using Parameterized Structured Light Imaging
title_short Depth Edge Filtering Using Parameterized Structured Light Imaging
title_sort depth edge filtering using parameterized structured light imaging
topic depth edge filter
depth detection
structured light
url http://www.mdpi.com/1424-8220/17/4/758
work_keys_str_mv AT ziqizheng depthedgefilteringusingparameterizedstructuredlightimaging
AT sehobae depthedgefilteringusingparameterizedstructuredlightimaging
AT junehoyi depthedgefilteringusingparameterizedstructuredlightimaging