一肖中特公式
首頁 > 論文 > 激光與光電子學進展 > 56卷 > 9期(pp:91009--1)

基于直線截距比的三維點云特征提取

Feature Extraction from 3D Point Clouds Based on Linear Intercept Ratio

  • 摘要
  • 論文信息
  • 參考文獻
  • 被引情況
  • PDF全文
分享:

摘要

提出一種新的點云特征檢測算子——直線截距比特征檢測算子。根據相鄰點之間的幾何關系提出直線截距比,構建了特征篩選條件函數,利用關于點距的高斯函數對特征篩選條件函數進行修正。實驗結果表明,隨著模型中噪聲強度的增加,所提算法的特征誤識別率更低。所提算法能快速、準確地篩選出特征點,且具有良好的抗噪能力和更強的特征識別能力。

Abstract

A new concept of point-cloud feature detection operator called linear intercept ratio feature detection operator was introduced in this paper. Herein, the linear intercept ratio was defined based on the geometric relation between the adjacent points to construct the function of feature point extraction modified by the Gaussian function of the distance between the points. The experimental results denote that the proposed method exhibits a decreased error recognition rate with the increase of the noise intensity in the model. Further, the proposed method can rapidly and accurately screen out the feature points, and exhibits a good anti-noise capability and an enhanced feature recognition ability.

Newport宣傳-MKS新實驗室計劃
補充資料

中圖分類號:TP391

DOI:10.3788/LOP56.091009

所屬欄目:圖像處理

基金項目:國家自然科學基金(51065021,51365037)、江西省教育廳科技項目(GJJ181032)

收稿日期:2018-11-09

修改稿日期:2018-12-03

網絡出版日期:2018-12-06

作者單位    點擊查看

傅思勇:南昌大學機電工程學院, 江西 南昌 330031新余學院中興通訊信息學院, 江西 新余 338024
吳祿慎:南昌大學機電工程學院, 江西 南昌 330031

聯系人作者:吳祿慎([email protected])

【1】Fu S Y, Wu L S, Chen H W. Point cloud simplification method based on space grid dynamic partitioning[J]. Acta Optica Sinica, 2017, 37(11): 1115007.
傅思勇, 吳祿慎, 陳華偉. 空間柵格動態劃分的點云精簡方法[J]. 光學學報, 2017,37(11): 1115007.

【2】Li R Z, Yang M, Liu Y Y, et al. An uniform simplification algorithm for scattered point cloud[J]. Acta Optica Sinica, 2017, 37(7): 0710002.
李仁忠, 楊曼, 劉陽陽, 等. 一種散亂點云的均勻精簡算法[J]. 光學學報, 2017, 37(7): 0710002.

【3】Zhang Q S, Zhou Y, Hu X M. Hand vein recognition based on three dimensional point clouds matching[J]. Acta Optica Sinica, 2015, 35(1): 0115005.
張祺深, 周雅, 胡曉明, 等. 基于三維點云匹配的手掌靜脈識別[J]. 光學學報, 2015, 35(1): 0115005.

【4】Deng B W, Wang Z B, Jin Y, et al. Feature extraction method of laser scanning point cloud based on morphological gradient[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051203.
鄧博文, 王召巴, 金永, 等. 基于形態學梯度的激光掃描點云特征提取方法[J]. 激光與光電子學進展, 2018, 55(5): 051203.

【5】Li R Z, Yang M, Tian Y, et al. Point cloud registration algorithm based on the ISS feature points combined with improved ICP algorithm[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111503.
李仁忠, 楊曼, 田瑜, 等. 基于ISS特征點結合改進ICP的點云配準算法[J]. 激光與光電子學進展, 2017, 54(11): 111503.

【6】Gumhold S, Wang X L, Macleod R. Feature extraction from point clouds[C]∥Proceedings of 10th International Meshing Roundtable, Sandia National Laboratories, October 7-10, 2001, Newport Beach, California, U.S.A. [S.l.:s.n.], 2001: 293-305.

【7】Pauly M, Gross M, Kobbelt L P. Efficient simplification of point-sampled surfaces[C]∥Proceedings of the Conference on Visualization, October 27-November 1, 2002, Boston, MA, USA. New York: IEEE, 2002: 163-170.

【8】Nie J H, Liu Y, Gao H, et al. Feature line detection from point cloud based on signed surface variation and region segmentation[J]. Journal of Computer-Aided Design & Computer Graphics, 2015, 27(12): 2332-2339.
聶建輝, 劉燁, 高浩, 等. 基于符號曲面變化度與特征分區的點云特征線提取算法[J]. 計算機輔助設計與圖形學學報, 2015, 27(12): 2332-2339.

【9】Nie J H. Extracting feature lines from point clouds based on smooth shrink and iterative thinning[J]. Graphical Models, 2016, 84: 38-49.

【10】Pauly M, Keiser R, Gross M. Multi-scale feature extraction on point-sampled surfaces[J]. Computer Graphics Forum, 2003, 22(3): 281-289.

【11】Guo Y L, Bennamoun M, Sohel F, et al. 3D object recognition in cluttered scenes with local surface features: A survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(11): 2270-2287.

【12】Guo Y L, Bennamoun M, Sohel F, et al. A comprehensive performance evaluation of 3D local feature descriptors[J]. International Journal of Computer Vision, 2016, 116(1): 66-89.

【13】Ho H T, Gibbins D. Curvature-based approach for multi-scale feature extraction from 3D meshes and unstructured point clouds[J]. IET Computer Vision, 2009, 3(4): 201-212.

【14】Wushour S, Cao J M. An extraction algorithm for sharp feature points from point clouds[J]. Journal of Xi'an Jiaotong University, 2012, 46(12): 1-5, 73.
吾守爾·斯拉木, 曹巨明. 一種新的散亂點云尖銳特征提取方法[J]. 西安交通大學學報, 2012, 46(12): 1-5, 73.

【15】Pang X F, Pang M Y, Xiao C X. An algorithm for extracting and enhancing valley-ridge features from point sets[J]. Acta Automatica Sinica, 2010, 36(8): 1073-1083.
龐旭芳, 龐明勇, 肖春霞. 點云模型谷脊特征的提取與增強算法[J]. 自動化學報, 2010, 36(8): 1073-1083.

【16】Liu Y, Wang C Y, Gao N, et al. Point cloud adaptive simplification of feature extraction[J]. Optics and Precision Engineering, 2017, 25(1): 245-254.
劉迎, 王朝陽, 高楠, 等. 特征提取的點云自適應精簡[J]. 光學 精密工程, 2017, 25(1): 245-254.

【17】Wang L H, Yuan B Z. Feature point detection for 3D scattered point cloud model[J]. Signal Processing, 2011, 27(6): 932-938.
王麗輝, 袁保宗. 三維散亂點云模型的特征點檢測[J]. 信號處理, 2011, 27(6): 932-938.

【18】Huang Y, Da F P, Tao H J. An automatic registration algorithm for point cloud based on feature extraction[J]. Chinese Journal of Lasers, 2015, 42(3): 0308002.
黃源, 達飛鵬, 陶海躋. 一種基于特征提取的點云自動配準算法[J]. 中國激光, 2015,42(3): 0308002.

【19】Zhang Y H, Geng G H, Wei X R, et al. Point clouds simplification with geometric feature reservation[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(9): 1420-1427.
張雨禾, 耿國華, 魏瀟然, 等. 保留幾何特征的散亂點云簡化算法[J]. 計算機輔助設計與圖形學學報, 2016, 28(9): 1420-1427.

【20】Zhang Y H, Geng G H, Wei X R, et al. A statistical approach for extraction of feature lines from point clouds[J]. Computers & Graphics, 2016, 56: 31-45.

【21】Hoppe H, DeRose T, Duchamp T, et al. Surface reconstruction from unorganized points[C]∥SIGGRAPH ′92 Proceedings of the 19th Annual Conference on Computer Graphics and Interactive Techniques, New Yok: ACM, 1992: 71-78.

【22】Zhang Y H, Geng G H, Wei X R, et al. Feature extraction of point clouds using the DBSCAN clustering[J]. Journal of Xidian University, 2017, 44(2): 114-120.
張雨禾, 耿國華, 魏瀟然, 等. 采用密度空間聚類的散亂點云特征提取方法[J]. 西安電子科技大學學報, 2017, 44(2): 114-120.

引用該論文

Fu Siyong,Wu Lushen. Feature Extraction from 3D Point Clouds Based on Linear Intercept Ratio[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091009

傅思勇,吳祿慎. 基于直線截距比的三維點云特征提取[J]. 激光與光電子學進展, 2019, 56(9): 091009

您的瀏覽器不支持PDF插件,請使用最新的(Chrome/Fire Fox等)瀏覽器.或者您還可以點擊此處下載該論文PDF

一肖中特公式
广东十一选五开奖记录 2018永久固定不变公式规律 广西时时彩开奖号 老11选5 宁夏11选5开奖结果12567 永利真人龙虎斗平台 黑龙江时时彩 单双中特王 河北11选5开奖视频直播 上海时时彩走势图彩经网