High‐Quality Stereo Depth Map Generation Using Infrared Pattern Projection

In this paper, we present a method for obtaining a highquality 3D depth. The advantages of active pattern projection and passive stereo matching are combined and a system is established. A diffractive optical element (DOE) is developed to project the active pattern. Cross guidance (CG) and auto guid...

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Published inETRI journal Vol. 35; no. 6; pp. 1011 - 1020
Main Authors Jeong, Jae‐chan, Shin, Hochul, Chang, Jiho, Lim, Eul‐Gyun, Choi, Seung Min, Yoon, Kuk‐Jin, Cho, Jae‐il
Format Journal Article
LanguageEnglish
Published Electronics and Telecommunications Research Institute (ETRI) 01.12.2013
한국전자통신연구원
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Summary:In this paper, we present a method for obtaining a highquality 3D depth. The advantages of active pattern projection and passive stereo matching are combined and a system is established. A diffractive optical element (DOE) is developed to project the active pattern. Cross guidance (CG) and auto guidance (AG) are proposed to perform the passive stereo matching in a stereo image in which a DOE pattern is projected. When obtaining the image, the CG emits a DOE pattern periodically and consecutively receives the original and pattern images. In addition, stereo matching is performed using these images. The AG projects the DOE pattern continuously. It conducts cost aggregation, and the image is restored through the process of removing the pattern from the pattern image. The ground truth is generated to estimate the optimal parameter among various stereo matching algorithms. Using the ground truth, the optimal parameter is estimated and the cost computation and aggregation algorithm are selected. The depth is calculated and bad‐pixel errors make up 4.45% of the non‐occlusion area.
Bibliography:eg_lim@etri.re.kr
and Hochul Shin (corresponding author
Kuk‐Jin Yoon
ccsmm@etri.re.kr
kjyoon@gist.ac.kr
channij@ust.re.kr
are with the IT Convergence Technology Research Laboratory, ETRI, Daejeon, Rep. of Korea, and are also with the University of Science and Technology, Daejeon, Rep. of Korea.
Manuscript received Mar. 31, 2013; revised Oct. 16, 2013; accepted Oct. 26, 2013.
creatrix@etri.re.kr
Jae‐chan Jeong (phone: +82 42 860 6116
is with the Computer Vision Laboratory, GIST, Gwangju, Rep. of Korea.
Jiho Chang
and Jae‐il Cho
jicho@etri.re.kr
changjh@etri.re.kr
are with the IT Convergence Technology Research Laboratory, ETRI, Daejeon, Rep. of Korea.
Eul‐Gyun Lim
Seung Min Choi
This work was supported by the ETRI R&D Program of Ministry of Science, ICT and Future Planning, Korea [11921‐03001, Development of Beyond Smart TV Technology].
KISTI1.1003/JNL.JAKO201344962318188
G704-001110.2013.35.6.010
http://etrij.etri.re.kr/Cyber/servlet/BrowseAbstract?vol=35&pg=1011
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.13.2013.0052