英语翻译Hybrid Modelling:For point cloud data from LiDAR,global
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英语翻译
Hybrid Modelling:For point cloud data from LiDAR,global modelling cannot make
good use of such high-density 3D data points.Therefore,we designed a novel hybrid
model,which includes \meta-deformation" for a small area (e.g.,cells in our case),\sub
deformation" for a partial area where the deformation is more or less uniform or con
sistent,and \deformation-map" for describing the complete region.With such a hybrid
deformation model,we are able to provide a more informative description of heterogeneous
deformation for a large monitored region.Furthermore,the deformation can be computed
incrementally according to this hybrid modelling.
Cell-based Deformation Computation.To effectively utilise the hybrid deformation mod
lling for a large region and to efficiently compute the deformation map,we design a novel
and self-contained cell-based deformation computing framework.With this framework,we are
able to automatically and incrementally compute the deformation information,from the meta
deformation for cells,to the sub-deformation for partial areas,and finally to the deformation
map for the complete region.This framework has three main steps (technical components),
namely,\split",\detect",and \merge".
Hybrid Modelling:For point cloud data from LiDAR,global modelling cannot make
good use of such high-density 3D data points.Therefore,we designed a novel hybrid
model,which includes \meta-deformation" for a small area (e.g.,cells in our case),\sub
deformation" for a partial area where the deformation is more or less uniform or con
sistent,and \deformation-map" for describing the complete region.With such a hybrid
deformation model,we are able to provide a more informative description of heterogeneous
deformation for a large monitored region.Furthermore,the deformation can be computed
incrementally according to this hybrid modelling.
Cell-based Deformation Computation.To effectively utilise the hybrid deformation mod
lling for a large region and to efficiently compute the deformation map,we design a novel
and self-contained cell-based deformation computing framework.With this framework,we are
able to automatically and incrementally compute the deformation information,from the meta
deformation for cells,to the sub-deformation for partial areas,and finally to the deformation
map for the complete region.This framework has three main steps (technical components),
namely,\split",\detect",and \merge".
混合建模:对于LiDAR点云数据,球面模型不能很好地利用这种高密度的三维数据点.因此,我们设计了一种新型的混合模型,它包括:\一个小区域的“元变形“(例如,在我们的例子中的单元格),\子变形”为一个局部区域中的变形,该区域中变形或多或少是统一或者连续的,(还有)和\形变映射“,它用于描述完整区域(的变形).有了这样的混合变形模型,我们能够提供一个大监控区域的非均匀变形的包含更多信息的描述.另外,可以根据这个混合模型逐渐计算出变形量.
基于单元格的变形计算.为了有效地将混合变形模型应用于一个大的区域,并有效地计算变形图,我们设计了一种新的独立的基于单元格的变形计算框架.有了这个框架,我们能够自动地逐渐计算变形的信息,从元变形的单元格,子变形的局部区域,最后到变形图的完整区域.这个框架有三个主要步骤(技术部分),即\拆分“,\检测”和\合并“.
基于单元格的变形计算.为了有效地将混合变形模型应用于一个大的区域,并有效地计算变形图,我们设计了一种新的独立的基于单元格的变形计算框架.有了这个框架,我们能够自动地逐渐计算变形的信息,从元变形的单元格,子变形的局部区域,最后到变形图的完整区域.这个框架有三个主要步骤(技术部分),即\拆分“,\检测”和\合并“.
英语翻译Hybrid Modelling:For point cloud data from LiDAR,global
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