基于相容性任务分配的三维建模集群方法

针对现有集群方法在倾斜影像三维建模时节点上存在的CPU和GPU资源浪费现象及三维建模效率不高等问题,本文提出了基于相容性任务分配的集群三维建模方法。首先,通过对三维重建任务进行两步提交划分,在建模效果不变的前提下提升集群的执行效率。然后,针对集群节点资源浪费现象,提出了相容性任务节点分配方式,实现了基于相容性任务分配的三维建模集群。最后,进行大规模影像三维重建试验测试,验证了大数据试验环境下相容性理论对分配方式优化的优越性,证明了本文方法对三维建模效率有明显提升作用。

A 3D modeling cluster approach based on compatible task assignment

In response to the existing clustering methods that have wasted CPU and GPU resources on nodes during 3D modeling of tilt images and the inefficiency of 3D modeling,this paper proposes a cluster 3D modeling method based on compatibility. Firstly,by dividing the 3D reconstruction task based on two-step submission,the execution efficiency of the cluster is improved while the modeling effect remains unchanged. Then,we propose the compatibility task node allocation method for the waste of cluster node resources,and complete the implementation of the 3D modeling cluster method based on the compatibility task allocation. Finally,the experimental test of large-scale image 3D reconstruction is conducted to verify the superiority of the compatibility theory on the optimization of the allocation method under the experimental environment of big data,which proves that the algorithm of this paper has significantly improved the efficiency of 3D modeling.