• DocumentCode
    255130
  • Title

    High-fidelity 3D plants model reconstructed based on color structured light

  • Author

    Kai Si ; Jian Zhang ; Zongnan Li ; Zhenyu Guo ; Xiuxiu Lu ; Jing Xie

  • Author_Institution
    Coll. of Resources & Environ., Huazhong Agric. Univ., Wuhan, China
  • fYear
    2014
  • fDate
    11-14 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to construct the high-precision and high-fidelity 3D plants model quickly and economically, this study present a new approach to combing the color structured light with silhouette-based method to repair the model´s depth information. First, project the coded color structured light which is coded using spatial code method on the surface of the plants. And photograph the plants using two non-contract cameras from different angles. Second, we need to extract the center of the stripes and decode the structured light base on color space conversion. Then, gain the feature points using the method of color stripes matching base on epipolar constraint. Finally, calibration the camera and computation of feature points´ coordinates. Reconstruct the 3D model of plants base on the feature points. Experimental results show that the method could repair the 3D model´s depth information effectively.
  • Keywords
    agricultural products; cameras; feature extraction; image colour analysis; image matching; image reconstruction; stereo image processing; 3D model reconstruction; camera calibration; coded color structured light; color space conversion; color stripes matching; depth information; epipolar constraint; feature points coordinates; high-fidelity 3D plants model; noncontract cameras; silhouette-based method; spatial code method; Calibration; Cameras; Computational modeling; Image color analysis; Image reconstruction; Solid modeling; Three-dimensional displays; 3D reconstruction; Color structured light; High-fidelity; High-precision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2014.6910587
  • Filename
    6910587