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Permanent link (DOI): https://doi.org/10.7939/R33B5WF35

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Recovering Stereo Depth Maps Using Single Gaussian Blurred Color Structured Light Pattern Open Access

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Author or creator
Chen, Xida
Yang, Yee Hong
Additional contributors
Subject/Keyword
Structured light
Computer Vision and Multimedia Communications
Dense correspondence
Spatial coding
Type of item
Computing Science Technical Report
Computing science technical report ID
TR11-07
Language
English
Place
Time
Description
Technical report TR11-07. In this paper, we present a structured light method to recover depth maps. Contrary to most temporal coding methods which require projecting a series of patterns, our method needs one color pattern only. Unlike most spatial coding methods which establish correspondence only along the edges of the captured images, our method produces a dense set of correspondence. Our method is built upon an important observation that a Gaussian blurred De Bruijn pattern preserves the desirable windowed uniqueness property. A Gaussian blurred De Bruijn pattern is used so that the color of every illuminated pixel is used to its fullest advantage. The simulated experiments show that the proposed method establishes a correspondence set whose density and accuracy are close to that of using temporal coding methods. We also demonstrate the robustness of our approach by applying it to several real-world datasets.
Date created
2011
DOI
doi:10.7939/R33B5WF35
License information
Creative Commons Attribution 3.0 Unported
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