基于六视角自标定算法的三维图像重建

针对其他标定方法在三维图像重建中的缺点,提出自标定算法。首先建立摄像机标定模型,通过透视投影在成像平面上生成对应像点的齐次坐标;接着自标定数学模型利用单应性矩阵,使一张图像与另一张图像上存在对应点;最后在三维重建中为了判断像素点是否落在摄像机定位模块坐标内,采用投影面约束方程。实验仿真从6个角度前、后、左、右、上、下获取空间曲面信息,具有较高的重建精度。

Three-dimensional image reconstruction based on six perspectives self-calibration algorithm

Aiming at the disadvantages of other calibration methods for 3 D image reconstruction,a new self-calibration algorithm is proposed.Firstly,the camera calibration model is established.Corresponding image points in homogeneous coordinates are generated by perspective projection in the imaging plane.Then self-calibration matrix is used to make corresponding points in different images.Finally,using the projection plane constraint equations to determine whether the pixel falls within the coordinates of camera positioning module.Simulation experiments get the space information from six sides and reconstruction accuracy is high.