摘要
针对基于图像对大豆叶片进行三维真实感建模的问题,考虑叶面积指数对大豆产量的影响,提出一种受面积约束的三维叶片建模方法。该方法首先从二维图像中提取出叶片特征点和叶片面积,然后采用双三次均匀B样条曲面插值特征点进行建模,并且根据叶片边缘卷曲形态对网格模型进行变形,构造叶片卷曲模型,分别计算不同卷曲模型的最大光照面积,从而选择最优的模型。实验证明,该方法能构造出逼真的叶片模型,并且具有一定的生物学意义和实际应用价值。
Aiming at the realistic three-dimensional model of soybean leaf based on images, considering the impact of leaf area index（LAI）on soybean production, a method for three-dimensional modeling of leaf on the constraint of leaf area was proposed. Firstly, the feature points and leaf area were extracted form the image, and then the feature points were interpolated to get a bi-cubic uniform B-spline surface. The mesh was deformed according to the curl of leaf edge and the curly leaf model was constructed. Lastly, the maximum illumination area of each model separately was calculated to chose the optimal modeL The experimental results show that the method can construct the realistic three-dimensional model of soybean leaf. The method has certain biological significance and application value.
出处
《计算机科学》
CSCD
北大核心
2013年第10期301-304,共4页
Computer Science
基金
国家自然科学基金(60970004
60743010)
山东省自然科学基金(ZZ2008G02
ZR2010QL01)资助
关键词
特征点
曲线拟合
B样条曲面
面积约束
三维建模
Feature points, Curve fitting, B-spline surface, Area constraint, Three-dimensional modeling
