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Reconstruction of Tree Structure from Multi-scale Measurement Data

文献类型： 外文期刊

作者： Lu, Shenglian 1 ; Guo, Xinyu 1 ; Du, Jianjun 1 ; Wen, Weiliang 1 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China

关键词： 3D reconstruction;plant modeling;digitizing and scanning;digital plant

期刊名称：2014 WORLD AUTOMATION CONGRESS (WAC): EMERGING TECHNOLOGIES FOR A NEW PARADIGM IN SYSTEM OF SYSTEMS ENGINEERING

ISSN： 2154-4824

年卷期： 2014 年

页码：

收录情况： SCI

摘要： Two methods are proposed for three-dimensional (3D) reconstruction of tree structure from multi-scale measurement data. The proposed reconstruction methods include reconstrnction from digitized characteristic points of the tree and reconstruction from scanned point cloud of a whole tree. Both methods used real measurement data as such multi-scale data needed to be acquired from the targeted tree. At organ scale, laser scanner was used to obtain point cloud data from the surface of an organ. At individual tree scale, 3D digitizer and large-scale 3D scanner was used to measure the data of a whole tree. While at colony scale, several morphological characteristics were measured from the plant colony. Methods for reconstructing the 3D structure of a tree from these multi-scale measuring data were described in detail. A quantitative evaluation combing reconstructed accuracy and time consuming for data measnrement was given to compare different reconstrnction strategies.

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