Vision processing for realtime 3-D data acquisition based on coded structured light
Vision processing for realtime 3-D data acquisition based on coded structured light
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DOI：
10.1109/tip.2007.914755
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发表时间：
2008-02-01
影响因子：
10.6
通讯作者：
Zhang, Jianwei
中科院分区：
文献类型：
--
作者：
Chen, S. Y.;Li, Y. F.;Zhang, Jianwei
结构光视觉系统已成功地用于计算机视觉中的三维表面的精确测量。然而，它们的应用主要限于扫描静止物体到目前为止，因为数十个图像必须被捕获恢复一个3-D场景。本文提出了一种通过特殊编码的视觉系统实时采集三维表面数据的想法。为了实现动态场景的三维测量，必须仅用一幅图像进行数据采集。为了提高重建效率，提出了唯一颜色编码模式投影的原则来设计颜色矩阵。该矩阵是由一个特殊的代码序列和一些状态转移。彩色投影仪由计算机控制，以在场景中生成所需的颜色图案。光代码的唯一索引在这里对于彩色投影是至关重要的，因为通过结合局部邻域来唯一地识别每个光网格是必不可少的，使得可以仅通过单个图像的局部分析来执行3D重建。提出了一种用于快速三维数据采集的视觉处理方法。实际的实验性能提供分析所提出的方法的效率。
Structured light vision systems have been successfully used for accurate measurement of 3-D surfaces in computer vision. However, their applications are mainly limited to scanning stationary objects so far since tens of images have to be captured for recovering one 3-D scene. This paper presents an idea for real-time acquisition of 3-D surface data by a specially coded vision system. To achieve 3-D measurement for a dynamic scene, the data acquisition must be performed with only a single image. A principle of uniquely color-encoded pattern projection is proposed to design a color matrix for improving the reconstruction efficiency. The matrix is produced by a special code sequence and a number of state transitions. A color projector is controlled by a computer to generate the desired color patterns in the scene. The unique indexing of the light codes is crucial here for color projection since it is essential that each light grid be uniquely identified by incorporating local neighborhoods so that 3-D reconstruction can be performed with only local analysis of a single image. A scheme is presented to describe such a vision processing method for fast 3-D data acquisition. Practical experimental performance is provided to analyze the efficiency of the proposed methods.