基于红外编码结构光的深度测量方法

视觉深度测量是计算机视觉领域的重要问题。提出了一种基于红外编码结构光的深度测量方法。首先,设计一种新的网格图案并提出一种顺序编解码算法,准确计算参考图像与目标图像之间对应点的偏移;然后,提出一种成像系统参数线性拟合算法,建立目标深度与光斑像素偏移之间的线性关系,并修正镜头畸变;最后,基于线性关系实现深度测量,并基于Delaunay三角剖分算法实现三维重建。在实验过程中,通过多组数据进行误差评估与校正,提高测量精度,降低系统误差。多组实验数据表明,该深度测量方法准确性较高,并具有较好的实用性与鲁棒性。

Depth measurement based on infrared coded structured light

Depth measurement is an important problem in computer vision field. Firstly, a new grid pattern was designed and a sequence coding and decoding algorithm for the pattern was proposed. Secondly, a linear fitting algorithm of system parameters for constructing the linear relationship between the object depth and the pixel shift was proposed, and the lens distortion was rectified. Thirdly, depth information of object was obtained based on this linear relationship. Moreover, 3D reconstruction was implemented based on Delaunay triangulation algorithm. Finally, the regularity of the error curves was utilized to correct the system errors and the measurement accuracy was improved. The experimental results show that the accuracy of depth measurement is related to the step length of moving object.