Automated analysis of 3-D shape and surface strain distributions of a moving object using stereo vision

Automated analysis of 3-D shape and surface strain distributions of a moving object using stereo vision
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使用立体视觉自动分析移动物体的 3D 形状和表面应变分布

DOI:
10.1016/0143-8166(93)90027-i
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发表时间:
1993
影响因子:
4.6
通讯作者:
M. Fujigaki
M. Fujigaki
中科院分区:
工程技术2区
文献类型:
--
作者:
Y. Morimoto;M. Fujigaki

文献摘要

被引文献

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提出了一种利用立体视觉自动分析运动物体三维形状和表面应变分布的方法。一个二维(2-D)的交叉光栅绘制在物体的表面上,它被记录为图像与两个电荷耦合器件相机。对于物体表面和图像之间的对应关系,使用傅里叶变换网格方法(FTGM)。利用傅里叶变换梯度法分离图像傅里叶频谱的各方向一次谐波,可以很容易地将二维交叉光栅分离成各方向光栅,并得到光栅亮度分布的各方向相位信息。用相位值代替光栅线数,确定物体表面任意点与图像的对应关系。对应算法比传统的图像处理方法更容易应用,使用光栅线的中心线的像素位置。3-D形状的分析更快。因此,大量图像的分析变得可能,并且因此可以执行动态变形对象的有效测量。作为应用,以弯曲钢板的弹塑性屈曲为例,测量了其三维形状和表面应变随时间的变化。
An automated method for analyzing the three-dimensional (3-D) shape and the surface strain distributions of a moving object, using stereo vision, is proposed. A two-dimensional (2-D) cross grating is drawn on the surface of the object and it is recorded as images with two charge coupled device cameras. For correspondence between the surface of the object and the images, the Fourier transform grid method (FTGM) is used. By separating each directional first harmonic of the Fourier spectrum of the images using the FTGM, the 2-D cross grating can be easily separated into each directional grating, and each directional phase information of the grating brightness distribution is obtained. The correspondence between arbitrary points on the surface of the object and the images is determined, using the phase values instead of the grating line numbers. The correspondence algorithm is much more easily applied than the conventional image processing method, using the pixel positions of the center lines of the grating lines. The analysis of the 3-D shape is faster. Accordingly, analysis of large quantity images becomes possible and consequently the effective measurement of a dynamically deforming object can be performed. As an application, in the case of elastic-plastic buckling of a curved steel plate, the 3-D shape and the surface strain distributions changing with time are measured.