用于自动三维测量的自终止视点规划方法  

A Next-Best-View Method with Self-Termination for Automatic Modeling of Three Dimensional Objects

作　　者：何炳蔚[1] 

机构地区：[1]福州大学机械工程及自动化学院机电系,福州350002

出　　处：《测试技术学报》2007年第2期163-169,共7页Journal of Test and Measurement Technology

基　　金：国家自然科学基金资助项目(50605007);福建省自然科学基金计划资助项目(2006J0163)

摘　　要：在摄影测量和目标识别等计算机视觉的应用中,为了提高对未知对象的三维测量或定位精度,有必要采用传感器规划策略预先对视觉装置的参数进行规划,寻找下一个最优视点,从而保证视觉装置更有效地完成视觉任务.本文提出了一种具有自终止特性的对未知物体模型自动三维测量的视点两步规划方法.利用群矢量链方法获得视觉传感器在下一个视点的观测方向;而视觉传感器的空间位置是通过计算矢量场内的边界积分获得.另外,为了使测量规划过程具有自终止特性,提出由测量所得的点云直接计算出物体体积的方法,并根据连续两个视点下物体体积的变化量作为终止测量的依据.实验结果表明,该视点规划方法是可行而且有效的.The author presents a method of view planning for automatically constructing the model of an unknown object from range images. The method computes the next best view in two steps. First, the exploration direction for the next view is determined via a Mass Vector Chain （MVC） based scheme. Then the accurate position of the next view is obtained by computing the boundary integral of the vectors fields. The position with the maximum integral value is selected as the Next Best View （NBV）. The author also presents a self-termination criterion for judging the completion condition in the measurement and reconstruction process. The termination condition is derived based on the volume changes computed from two successive viewpoints. The experimental results show that the method is effective.

关 键 词：视觉传感器 视点规划 3D模型 最优视点 群矢量链 自终止 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]