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

• Author(s) / Creator(s)

  • Chen, Xida
  • Yang, Yee Hong

• 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. | TRID-ID TR11-07

• Date created

  2011

• Subjects / Keywords

  • Spatial coding
  • Computer Vision and Multimedia Communications
  • Dense correspondence
  • Structured light

• Type of Item

  Report

• DOI

  https://doi.org/10.7939/R33B5WF35

• License

  Attribution 3.0 International