Coarse to fine: toward an intelligent 3D acquisition system
Coarse to fine: toward an intelligent 3D acquisition system
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从粗到精：迈向智能 3D 采集系统
DOI：
10.1117/12.2075657
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
F. Truchetet
中科院分区：
文献类型：
--
作者：
V. Daval;O. Aubreton;F. Truchetet
3D采集-压缩-处理链在大多数情况下都被分为独立的阶段。因此，无论物体的几何形状和在进一步步骤中要进行的处理如何，都采集了大量的3D点。特别是在机械零件3D建模和CAD中，似乎并不总是强制性地采集这样的数据量。我们提出了一种方法，旨在最大限度地减少要获得的3D点的数量相对于局部几何形状的一部分，因此在采集阶段压缩点云。我们提出的方法是基于一个新的粗到粗的方法，其中从一组粗糙的2D点相关联的局部法线的3D对象模型被分割成一个组合的图元。所获得的模型在需要新点的地方被丰富，并且在保留的区域中执行新的基元提取阶段。
这样做，直到达到给定精度的重建对象。值得注意的是，与其他研究相反，我们不使用网格模型，而是直接使用扫描设备提供的数据。
The 3D acquisition-compression-processing chain is, most of the time, sequenced into independent stages. As resulting, a large amount of 3D points are acquired whatever the geometry of the object and the processing to be done in further steps. It appears, particularly in mechanical part 3D modeling and in CAD, that the acquisition of such an amount of data is not always mandatory. We propose a method aiming at minimizing the number of 3D points to be acquired with respect to the local geometry of the part and therefore to compress the cloud of points during the acquisition stage. The method we propose is based on a new coarse to
ne approach in which from a coarse set of 2D points associated to the local normals the 3D object model is segmented into a combination of primitives. The obtained model is enriched where it is needed with new points and a new primitive extraction stage is performed in the re
ned regions. This is done until a given precision of the reconstructed object is attained. It is noticeable that contrary to other studies we do not work on a meshed model but directly on the data provided by the scanning device.