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Analysis of the spinning behavior of silkworms by 3D computer graphics

利用 3D 计算机图形分析蚕的纺丝行为

基本信息

批准号：
03454059
负责人：
MIURA Mikihiko
金额：
$ 4.1万
依托单位：
Faculty of Textile Science and Technology, SHINSHU UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (B)
财政年份：
1991
资助国家：
日本
起止时间：
1991 至 1992
项目状态：
已结题

项目摘要

We devised a simple method to determine the position of a silkworm by using two video cameras and a personal computer. The coordinates of several points marked on the body of a silkworm were read on the CRTbased on the two pictures taken by two video cameras from two different angles. When the mark on a silkworm was not observed on the CRT, because it was hidden by the body of the silkworm, the coordinates of two vertexes defining an appropriate rectangle, which includes the marked point, were read. The iterative reweighted least squares method was used to estimate the position in three dimensions. Then we considered the accuracy of the reconstructed position of a silkworm obtained by the method proposed in this research. The variances in the estimates of two transformation matrices were given. The variance in the reconstructed position was also obtained, and the relationship between the accuracy and the measurement error was considered. We presented a new method for estimating the spinning speed using the reconstructed three-dimensional positions of the spinneret of a silkworm. The approximate variance was given to evaluate the accuracy of the estimated speed using a stochastic model. Furthermore, generalized Procrustes analysis was applied to the shape data of the silkworm so as to investigate the change of shape in spinning behavior. We determined that it was very efficient to use 3D computer graphics in the research of silkworm behavior. In this research we developed 3DASBS and applied it in all aspects of the analysis.

我们设计了一种简单的方法来确定蚕的位置，通过使用两个摄像机和个人计算机。根据两台摄像机从两个不同角度拍摄的两幅图像，在CRT上读出蚕体上标记的几个点的坐标。当在CRT上没有观察到蚕上的标记时，因为它被蚕的身体隐藏，所以读取限定包括标记点的适当矩形的两个顶点的坐标。采用迭代加权最小二乘法估计三维位置。然后我们考虑了通过本研究提出的方法获得的蚕的重建位置的准确性。给出了两个变换矩阵估计的方差。给出了重构位置的方差，并分析了测量精度与测量误差之间的关系。本文提出了一种利用重构的蚕体三维位置估计吐丝速度的新方法。利用随机模型，给出了速度估计的近似方差，以评价速度估计的精度。此外，将广义Procrustes分析应用于家蚕的形状数据，以研究形状在纺纱行为中的变化。我们认为，利用三维计算机图形学研究家蚕的行为是非常有效的。在本研究中，我们开发了3DASBS，并将其应用于分析的各个方面。