A non-parametric inference technique for shape boundaries in noisy point clouds

机译：噪声点云中形状边界的非参数推理技术

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摘要

This study explores the non-parametric estimation of a shape boundary from noisy points in 2D when the sensor characteristics are known. As the underlying shape information is not known, the offered algorithm estimates points on the shape boundary by using the statistics of the subsets of point cloud data. The novel approach proposed in this paper is able to find corner points in a local geometry by only using sample mean and covariance matrices of the subsets of the point cloud. While the proposed approach can be used for any class of boundary functions that demonstrates symmetry; for this paper, the analysis and experiments are performed on a connected line segment.

机译：这项研究探索了在已知传感器特性的情况下从2D噪声点进行形状边界的非参数估计。由于基础形状信息未知，因此所提供的算法通过使用点云数据子集的统计信息来估计形状边界上的点。本文提出的新颖方法仅通过使用点云子集的样本均值和协方差矩阵就能找到局部几何形状中的角点。虽然所提出的方法可以用于任何证明对称性的边界函数；对于本文，分析和实验是在连接的线段上进行的。

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来源
《2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems》|2017年|626-631|共6页
会议地点 Daegu(KR)
作者
Selim Özgen; Florian Faion; Antonio Zea; Uwe D. Hanebeck;
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作者单位

Chair of Intelligent Sensor-Actuator-Systems (ISAS) at the Karlsruhe Institute of Technology (KIT), Germany;

Chair of Intelligent Sensor-Actuator-Systems (ISAS) at the Karlsruhe Institute of Technology (KIT), Germany;

Chair of Intelligent Sensor-Actuator-Systems (ISAS) at the Karlsruhe Institute of Technology (KIT), Germany;

Chair of Intelligent Sensor-Actuator-Systems (ISAS) at the Karlsruhe Institute of Technology (KIT), Germany;

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正文语种 eng
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关键词
Shape; Shape measurement; Noise measurement; Estimation; Three-dimensional displays; Geometry; Coordinate measuring machines;

机译：形状;形状测量;噪声测量;估计;三维显示;几何;坐标测量机;;

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专利

1. ROBUST AND RATE-OPTIMAL GIBBS POSTERIOR INFERENCE ON THE BOUNDARY OF A NOISY IMAGE [J] . The Annals of Statistics: An Official Journal of the Institute of Mathematical Statistics . 2020,第3期

机译：嘈杂和速率 - 最佳吉布斯在嘈杂的图像边界上的后续推理
2. Visual Object Categorization Based on Hierarchical Shape Motifs Learned From Noisy Point Cloud Decompositions [J] . Mueller Christian A., Birk Andreas Journal of Intelligent & Robotic Systems: Theory & Application . 2020,第2期

机译：基于分层形状图案的视觉对象分类从嘈杂的点云分解中学到的
3. Identifying important conservation areas for the clouded leopard Neofelis nebulosa in a mountainous landscape: Inference from spatial modeling techniques [J] . Ugyen Penjor, David W. Macdonald, Sonam Wangchuk, Ecology and Evolution . 2018,第8期

机译：为山区景观中的云豹Neofelis nebulosa识别重要的保护区：来自空间建模技术的推论
4. A non-parametric inference technique for shape boundaries in noisy point clouds [C] . Selim ?zgen, Florian Faion, Antonio Zea, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems . 2017

机译：嘈杂点云中形状边界的非参数推断技术
5. Interpolation snakes with shape prior for boundary detection in noisy images. [D] . Minut, Silviu D. 2007

机译：在噪声图像中进行边界检测之前具有形状的插补蛇形。
6. Identifying important conservation areas for the clouded leopard Neofelis nebulosa in a mountainous landscape: Inference from spatial modeling techniques [O] . Ugyen Penjor, David W. Macdonald, Sonam Wangchuk, 2018

机译：确定山区景观中云豹新星云的重要保护区：来自空间建模技术的推论
7. M. L. Puri (Editor), Non-Parametric Techniques in Statistical Inference (Cambridge University Press, 1970, xiv + 623 pp., £10·20. [O] . R. A. Elton 1972

机译：M. L. Puri（编辑），统计推理中的非参数化技术（剑桥大学出版社，1970年，XIV + 623 PP，£10·20英镑。
8. Development of Infrared and Microwave Techniques for Cloud Parameter Inference from Satellite Imagery and Sounder Data [R] . Liou, K. N., Yeh, H. Y., Chen, F. M., 1980

机译：利用卫星影像和测深仪数据进行云参数推断的红外和微波技术研究

A non-parametric inference technique for shape boundaries in noisy point clouds

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