视差位移

由于图像相关性匹配方法对变化平缓且细节丰富的图像匹配精度较高，所以本文在分析多种图像相关方法基础上，选择了灰度梯度迭代算法计算图像对应点的视差位移，匹配图像对应点。

Image correlation matching method was suitable for smoothly and richly detailed image and matched more precision . In contrast to some image correlation method , the intensity gradient iterative algorithm was selected to calculate the parallax displacement of the corresponding image .

数值模拟图像和实际散斑图像实验表明，灰度梯度迭代算法的视差位移测量精度可以达到亚像素级。最后，通过实验证明了基于双目视觉的金属薄板成形测量方法的测量精度。

The numerical simulation images and real speckle images experiment showed that the intensity gradient iterative algorithm for parallax displacement measurement accuracy could reach sub-pixel level . Finally , there were two experiments to prove the accuracy of binocular vision-based measurement of sheet metal forming .