【作者】 李鹏； 杨帆； 张爱武； 孙卫东；

【Author】 LI Peng1,YANG Fan2,ZHANG Ai-wu2,SUN Wei-dong1(1.Department of Electronic Engineering,Tsinghua University,Beijing 100084,China;2.Key Laboratory of 3D Infor.Acquisition and Application,Capital Normal University,Beijing 100048,China)

【机构】 清华大学电子工程系； 首都师范大学三维信息获取与应用重点实验室；

【摘要】 利用三维激光测量技术获得粮仓储量信息对于确保清仓查库结果的准确性是很必要的,但由于仓内站点布设条件的限制(多站点、低高度),激光扫描结果存在严重的局部数据冗余和采样不均匀现象。首先采样自适应重采样的方法降低数据冗余,然后通过数据分割的方法获取粮仓内部结构信息和粮面信息。考虑到典型粮仓结构基本固定,提出了基于模型的多站点快速自动配准方法,实现了多站点数据的快速配准。同时提出了基于竞争机制的多站点数据均化算法,完成了多站点数据的融合以及补洞。最后通过曲面拟合的方法重构粮面,采用数值积分的方法计算储粮体积。针对两种典型仓型(平房仓和浅圆仓)的实验结果表明,文中方法具有较高的可行性和准确性。更多还原

【Abstract】 In order to get accurate measurement results in the annual inventory checking of grain storages,it is needed to use 3D measuring technology to obtain the volume information of the grain storages.However,the multi-sites and low position requirement for sitting the laser scanner inside of the grain storage,led to serious data redundancy in the local area of the scanner sites and uneven distribution of the range data.Considering the above redundancy and the uneven distribution problems,a range data redundancy reduction method based on adaptive re-sampling is presented at first.Then the range data should be segmented to detect the internal structure information and to extract the grain surface.As the basic structure of the grain storage is fixed,a fast automatic registration method based on the priori model is proposed to register the multi-sites range data.In view of the uneven distribution of range data and the occlusion holes,a multi-sites range data homogenization algorithm based on the competition mechanism is also proposed to merge the multi-sites range data and to fill the occlusion holes.Finally,the grain surface can be reconstructed by surface fitting method and the grain volume is estimated by the numerical integration method.Examples of tow common grain storage types,Flat Storage and Squat Silos,are given and discussed to show its effectiveness and accuracy.更多还原