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PART SURFACES 3D DIGITISING: An approach to accurate characteristic lines measurements

机译:零件表面3D数字化:准确特征线测量的方法

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The accurate measurement of characteristic lines using contact-less sensors is an important issue for it conditions the further point exploitation. For applications such as surface reconstruction the characteristic lines represent the 3D boundaries of point sets that can be fitted with surface models. The problem combines two specific issues: evaluating the accuracy of data obtained using non-contact sensors and identifying characteristic lines from discrete data. The first problem is solved through the use of quality indicators that are representative of data density, data completeness, and data accuracy. A particular attention is given to the digitising noise that greatly influences the precision of the acquired points. The second problem is solved through the 2D identification of points that are characteristic of 3D contours. The proposed approach relies on a voxel-space representation of the 3D digitised data that allows both the extraction of voxels belonging to the contour and the evaluation of voxels not satisfying the specified index precision. To improve data accuracy a method for rescanning non-accurate zones is detailed on the calculation of new sensor orientations so that the sensor is as normal as possible to the contour voxel and the digitising noise is limited.
机译:使用较少接触传感器的特征线的精确测量是IT条件的重要问题,进一步的剥削。对于诸如表面重建的应用,特征线表示可以配有表面模型的点组的3D边界。问题结合了两个特定问题:评估使用非接触式传感器获得的数据的准确性并从离散数据识别特征线。通过使用代表数据密度,数据完整性和数据准确性的质量指标来解决第一问题。特别注意的数字化噪声极大地影响所获取的点的精度。通过2D识别是3D轮廓的特征的2D识别来解决第二个问题。所提出的方法依赖于3D数字化数据的体素空间表示,其允许属于轮廓的体素的提取和不满足指定索引精度的体素的评估。为了提高数据精度,在新的传感器方向的计算中详细说明了用于重新加工非准确区域的方法,使得传感器尽可能正常地对轮廓体素和数字化噪声有限。

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