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
Link To Document