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基于參數(shù)化的玉米葉片三維模型主脈提取
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國家自然科學基金資助項目(30700493、31171454)和北京市農(nóng)林科學院科技創(chuàng)新能力建設專項資助項目(KJCX201104011)


Midvein Extraction for 3-D Corn Leaf Model Based on Parameterization
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    摘要:

    提取玉米葉片三維點云模型主脈對于建立真實玉米葉片模型具有指導意義。本文利用計算機圖形學中的相關算法,包括離散網(wǎng)格的平均曲率計算、網(wǎng)格曲面的參數(shù)化以及點云數(shù)據(jù)的骨骼提取等,對掃描得到的玉米葉片三維點云模型進行主脈曲線提取。整個算法分為3步:不完整主脈三維點集提取、完整主脈點集提取和三維主脈重建。通過對不同種類玉米葉片三維掃描數(shù)據(jù)進行實驗證明,該算法可以快速、準確地得到玉米葉片的主脈曲線。

    Abstract:

    It is significant for constructing real corn leaf model by extracting midvein from 3-D point cloud model. Three algorithms, including curvature computation of meshes, parameterization of meshes and skeleton extraction of point cloud, were used to extract midvein from 3-D point cloud model. The whole algorithm was consisted of three steps, including incomplete 3-D point cloud extraction of midvein, complete point cloud extraction of midvein and 3-D midvein reconstruction. Through experiments on different kinds of corn leaves, it indicated that the proposed algorithm could extract the midvein of corn leaf faithfully with less runtime.

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趙元棣,溫維亮,郭新宇,肖伯祥,陸聲鏈,孫智慧.基于參數(shù)化的玉米葉片三維模型主脈提取[J].農(nóng)業(yè)機械學報,2012,43(4):183-187. Zhao Yuandi, Wen Weiliang, Guo Xinyu, Xiao Boxiang, Lu Shenglian, Sun Zhihui. Midvein Extraction for 3-D Corn Leaf Model Based on Parameterization[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(4):183-187.

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  • 在線發(fā)布日期: 2012-04-18
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