英语翻译Once you get a decent low density point cloud,you are ready to move on to denser point cloud and the meshing steps.See ‘Densify your Point Cloud’ section below.However,if you find it difficult to find an appropriate depth range,and yo

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英语翻译Once you get a decent low density point cloud,you are ready to move on to denser point cloud and the meshing steps.See ‘Densify your Point Cloud’ section below.However,if you find it difficult to find an appropriate depth range,and yo
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英语翻译Once you get a decent low density point cloud,you are ready to move on to denser point cloud and the meshing steps.See ‘Densify your Point Cloud’ section below.However,if you find it difficult to find an appropriate depth range,and yo
英语翻译
Once you get a decent low density point cloud,you are ready to move on to denser point cloud and the meshing steps.See ‘Densify your Point Cloud’ section below.
However,if you find it difficult to find an appropriate depth range,and your DSM’s consistently result in a lot of noise and/or gaps etc,you may need to ‘build-up’ an implicit base surface.With a implicit base surface that better matches the true shape,your DSM will usually solve better,due to a smaller required depth range.On a face for example,you might want to mark and reference points on the tip of the nose,around the eyes,and on the cheeks and chin in order to get a closer base/approximate surface.The Help file discusses the implicit surface in more detail.
This image shows a few points marked on the face.Once referenced on other photos,the points 3D positions will be used by PMScanner to build up an ‘internal’ base surface.You won’t be able to see this base surface,but PMScanner will use it as a guide when matching regions on the face.
You can now use a smaller depth range to generate a reasonable initial DSM.
The following shows the 3D points through which PMScanner internally will fit an ‘implicit’ surface:
Notice how the peaks and various elevations of the face have points to help define the base surface.
The following shows the low density point cloud with the points used for a base surface and a depth range of +/- 5cm:
Notice how a depth range of +/-5cm works a lot better with the points marked to define an implicit base surface,as opposed to the example in #2 above where a +/-5cm depth range without the implicit base surface points resulted in a lot of noise.
You now have a reasonable low density point cloud and you are ready to move on to densifying it (see next section).
Densify your Point Cloud
Once your intial set up works well,increase the density of the point cloud (ie decrease the sample rate setting) and set up your meshing steps,then generate the new denser DSM,and run the meshing steps.A well solved DSM looks like this:
If your point cloud has noise points you may want to remove the noise points before meshing.See the ‘Clean up your Point Cloud’ section below.
If the triangulated PointMesh is rippled or wavy,you may need to regenerate your DSM using a higher sample rate (ie less dense point cloud).
Clean up your Point Cloud
Once you have a reasonable point cloud at the density you need,you may have a few outlying noise points.If the DSM solved well and there are very few of these noise points,you may not need to clean up as that will be taken care of in the Meshing Steps (eg filter step,smoothing etc.).

英语翻译Once you get a decent low density point cloud,you are ready to move on to denser point cloud and the meshing steps.See ‘Densify your Point Cloud’ section below.However,if you find it difficult to find an appropriate depth range,and yo
一旦你得到一个体面的低密度点云,你是准备进入更为密集的点云和啮合步骤.参见'致密你点云'一节.
不过,如果你发现很难找到合适的深度范围,和你的DSM公司一直在大量的噪音的结果和/或差距等,你可能需要的搭建'一个隐含的基面.随着隐基面,更好地匹配真实形状,你通常会解决好用电,由于需要更小的深度范围.在一个例如脸,你可能要标注和参考点的鼻尖,眼睛周围,并在脸颊和下巴,以获得更紧密的基地/近似的表面.帮助文件中更详细地讨论了隐式曲面.
此图片显示了几点显着的脸.一旦其他照片引用,三维点的位置将采用PMScanner建立一个'内部'基面.你将无法看到此基础表面,但PMScanner将使用它作为指导时脸上匹配区域.
现在,您可以使用较小的深度范围内产生一个合理的初始用电.
下面显示了通过该点的三维PMScanner国内适合一个'隐'面:
请注意如何面对峰和海拔高度有不同点,以帮助确定基面.
下面显示了一个基础面和深度范围内所使用的点密度点云低+ / - 5厘米:
请注意一个+ / - 5cm的作品的深度范围好多了显着的点来定义一个隐含的基面,而在#2上面的例子在一个+ / - 5cm的无隐基面点的深度范围导致大量的噪音.
您现在有一个合理的低密度点云,你是准备转移到稠化它(见下一节).
致密的点云
一旦你的最初设立运作良好,增加点云(即降低采样率设置密度)和设置您的啮合步骤,然后生成新的用电密度,并运行啮合步骤.一个很好的解决用电看起来像这样:
如果您有噪声点云点您可能需要删除之前的噪声点啮合.见'清理你的点云'一节.
如果是三角PointMesh波纹或波浪,你可能需要重新生成用电使用更高的采样率(即密度较小的点云).
清理你的点云
一旦你在你需要一个合理的密度点云,你可能有一些外围噪声点.如果用电解决好,有非常少,这些噪声点,你可能不需要清理的,将采取在啮合步骤(如过滤步骤照顾,平滑等).
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