基于双焦成像的测距技术研究

Research on range techniques based on bifocal imaging

单目双焦立体成像是计算机视觉近年发展的一个重要分支,有着广泛的应用前景。单目双焦成像测距系统,通过改变相机焦距对空间物体两次成像并通过计算可以得到物体的距离。研究了摄像机标定精度、像点径向视差以及相机旋转或平移对测距精度的影响,分析了物体成像面积不随光轴变化的特性,提出了基于成像面积的测距算法,在新的目标距离公式中,用目标的成像面积代替了传统算法中的像点矢量,因此新算法不需要在频繁地改变相机焦距的同时反复地标定摄像机主点位置,这样就解决了双焦成像测距的实时性问题。实验结果表明,提出的算法较传统测距算法有更高的测距精度。

In recent years,the monocular stereo system based on bifocal imaging is becoming an important branch of computer vision.It has a widespread application prospect.Monocular stereo system get the depth estimation of objects by two images,which are captured at two different focus.Based on the principle of the depth-estimation,we analyzed the factors that influence the range accuracy and then proposed a new ranging algorithm.In the algorithm,the object area was used instead of the image vector,which is used by traditional depth-measurement algorithm.By this way,the process of the tedious camera demarcation was avoided.The experimental results indicate that the new algorithm not only simplifies the depth-measurement process,but also enhances the accuracy of depth-measurement.