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Journal Article High-Quality Stereo Depth Map Generation Using Infrared Pattern Projection
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Authors
Jae-chan Jeong, Hochul Shin, Jiho Chang, Eul-Gyun Lim, Seung Min Choi, Kuk-Jin Yoon, Jae-il Cho
Issue Date
2013-12
Citation
ETRI Journal, v.35, no.6, pp.1011-1020
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.13.2013.0052
Project Code
13PR3500, Development of Beyond Smart TV Technology, Hong Jin Woo
Abstract
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. © 2013 ETRI.
KSP Keywords
3D depth, Cost Computation, Diffractive optical elements, High-quality, Optimal parameters, Pattern projection, Stereo matching algorithms, cost aggregation, depth map generation, ground truth, stereo images