摘要
为了解决测量范围有限和摄像机标定复杂的问题,本文在传统的数字散斑相关计量方法基础上,提出一种基于数字散斑去相关测量的三维重建方法。首先通过激光照射散射体的不同面元发生干涉,在物体表面叠加形成散斑图像;其次利用不同空间距离处参考散斑图像的去相关特性来估计物体的位置;最后通过三角测量原理求出物体散斑图像和参考图像局部偏移量来确定物体的三维图。仿真实验结果表明,该系统能够在误差允许范围内得到基本完整的物体深度图像,并且与物体自身特性无关,具有良好的鲁棒性。
In order to solve the problem of the limited measuring range and complicated camera calibration, this paper proposes a novel approach for 3D reconstruction based on the deeorrelation of the speckle patterns. First, when coherent light is transmitted from a rough surface, the speckle pattern is produced by the mutual interference of a set of wavefronts ; then, estimates the range of the object by using the decorrelation properties of the reference images at different positions ; at last, the region of displace- ments as a reference can be obtained by triangulation to determine the profile of a certain 3D object. Simulation results show that the depth map can be realized within the allowed range. A significant advantage of the method is the absence of shadowed area and high eordigurability.
出处
《计算机与现代化》
2012年第7期83-87,共5页
Computer and Modernization
基金
国家"863"计划平板显示重大专项(2008AA03A313)
福建省自然科学基金资助项目(2010J01333)
福建省自然科学基金资助项目(2011J01347)
福建省教育厅资助重点项目(JA09003)(JA1003)
关键词
激光散斑
三维重建
去相关
三角测量
laser speckle
3D reconstruction
decorrelation
triangluation
