Instituto de Automática e Informática Industrial, Universitat Politècnica de Valencia, Camino de Vera, Valencia, Spain 46022.
Opt Lett. 2011 Aug 15;36(16):3064-6. doi: 10.1364/OL.36.003064.
Inaccuracies in the calibration of a stereoscopic system appear with errors in point correspondences between both images and inexact points localization in each image. Errors increase if the stereoscopic system is composed of wide angle lens cameras. We propose a technique where detected points in both images are corrected before estimating the fundamental matrix and the lens distortion models. Since points are corrected first, errors in point correspondences and point localization are avoided. To correct point location in both images, geometrical and epipolar constraints are imposed in a nonlinear minimization problem. Geometrical constraints define the point localization in relation to its neighbors in the same image, and eipolar constraints represent the location of one point referred to its corresponding point in the other image.
立体系统校准不准确会导致两幅图像中的点对应出现误差，并且在每幅图像中无法精确定位点的位置。如果立体系统由广角镜头相机组成，那么误差会增加。我们提出了一种技术，即在估计基本矩阵和镜头失真模型之前，先对两幅图像中的检测点进行校正。由于首先校正了点，因此避免了点对应和点定位中的误差。为了校正两幅图像中的点位置，在非线性最小化问题中施加了几何和极线约束。几何约束定义了点相对于同一幅图像中其邻居的位置，而极线约束则表示一个点相对于另一幅图像中其对应点的位置。
