计算机科学 ›› 2019, Vol. 46 ›› Issue (7): 280-285.doi: 10.11896/j.issn.1002-137X.2019.07.043

• 图形图像与模式识别 • 上一篇    下一篇

基于单视图三维重建的凹凸制造特征识别

苗绘翠,王吉华,张全英   

  1. (山东师范大学信息科学与工程学院 济南250014)
  • 收稿日期:2018-06-09 出版日期:2019-07-15 发布日期:2019-07-15
  • 作者简介:苗绘翠(1983-),女,硕士生,CCF会员,主要研究方向为计算机辅助设计、三维模型等;王吉华(1966-),男,博士,教授,主要研究方向为计算机图形学、CAD、形状特征、设计本体等,E-mail:jihuaaw@126.com(通信作者); 张全英(1981-),女,硕士生,主要研究方向为计算机辅助设计、三维模型等。
  • 基金资助:
    国家自然科学基金项目(61472233),山东省自然科学基金项目(ZF2014FM018)资助

Concave-convex Manufacturing Features Recognition Based on 3D Reconstruction of Single View

MIAO Hui-cui,WANG Ji-hua,ZHANG Quan-ying   

  1. (School of Information Science & Engineering,Shandong Normal University,Jinan 250014,China)
  • Received:2018-06-09 Online:2019-07-15 Published:2019-07-15

摘要: 为实现凹凸制造特征机器人的自动识别,文中提出了一种不依赖于CAD设计模型的自动特征识别新方法。该方法以零件的单幅图像为识别线索,首先采用改进的SFS算法对零件表面进行三维曲面重建;然后对重建模型表面的形状指数进行分析以计算特征分割线,利用特征线将曲面进行分割以获得相应的特征区域;最后基于特征识别规则实现对零件凹凸制造特征的有效识别。该方法能够在缺少CAD模型时有效地实现制造特征的自动识别,从而为来料加工以及二次装配过程中机器人的自动特征识别提供重要的方法。通过实例零件验证了该方法的有效性和准确性。

关键词: SFS, 凹凸制造特征, 三维重建, 特征识别, 形状指数

Abstract: This paper proposed a new method of automatic feature recognition without relying on the CAD design model to achieve robot automatic recognition for concave-convex manufacturing features.The method takes the single image of the part as the identification clue.Firstly,the surface of the part is reconstructed by using the improved method of shape from shading.Then,the features segmentation lines which are used to segment the surface are calculated by analyzing the surface shape indexes of the reconstructed model.The surface is segmented by feature lines to obtain the corresponding classification region.Finally,based on the feature recognition rules,the feature of concave and convex manufacturing is identified effectively.This algorithm can effectively solve the problem of automatic identification of manufacturing features in the absence of CAD model,providing important method for the automatic feature recognition of the robot in the processing of incoming materials and two assembly.The validity and accuracy of the proposed method were verified by an example.

Key words: 3D reconstruction, Concave-convex manufacturing feature, Feature recognition, SFS, Shape index

中图分类号: 

  • TP391
[1]OUSSAMA J,ABDELILAH E,AHMED R.Manufacturing Computer Aided Process Planning for Rotational Parts.Part 1:Automatic Feature Recognition from STEP AP203 Ed2[J].International Journal of Engineering Research & Applications,2014,4(5):2248-9622.<br /> [2]CHENG B,REN Z.Interacting Feature Recognition Based on AAG Expansion and Hint[J].Journal of Graphics,2017,38(4):469-475.<br /> [3]LI Y,DING Y,MOU W.Feature recognition technology for aircraft structural parts based on a holistic attribute adjacency graph[J].Journal of Engineering Manufacture,2010,224(2):271-278.<br /> [4]GUO Y,SOHEL F A,BENNAMOUN M,et al.Integrating shape and color cues for textured 3D object recognition[C]∥2013 8th Conference on Industrial Electronics and Applications.IEEE,2013:1614-1619.<br /> [5]DWIJAYANTI K,AOYAMA H.Basic study on process planning for Turning-Milling Center based on machining feature re-cognition[J].Journal of Advanced Mechanical Design Systems &Manufacturing,2014,8(4):95-108.<br /> [6]LIU J F,LIU X J,CHENG Y L,et al.An algorithm of mapping the protrusion feature on the slanting face to its manufacturing feature volume in the process planning[J].International Journal of Advanced Manufacturing Technology,2015,79(1-4):361-376.<br /> [7]KUSS A,DIETZ T,KSENSOW K,et al.Manufacturing Task Description for Robotic Welding and Automatic Feature Recognition on Product CAD Models [J].Procedia Cirp,2017,60:122-127.<br /> [8]HUANG R,ZHANG S S,BAI X L.Manufacturability driven interacting machining feature recognition algorithms for 3D CAD models[J].Journal of Computer-Aided Design & Computer Graphics,2013,25(7):1089-1098.(in Chinese)<br /> 黄 瑞,张树生,白晓亮.可制造性驱动的三维CAD模型相交制造特征识别方法[J].计算机辅助设计与图形学学报,2013,25(7):1089-1098.<br /> [9]LIU X M,ZHONG Y,HUANG J F,et al.Machining feature recognition method for complicated boxy parts based on manufacturing resources[J].Computer Integrated Manufacturing Systems,2015,21(12):3166-3173.(in Chinese)<br /> 刘雪梅,周易,黄剑锋,等.基于制造资源的复杂箱体零件加工特征识别方法[J].计算机集成制造系统,2015,21(12):3166-3173.<br /> [10]SRIDHARAN N,SHAH J J.Recognition of Multi-Axis Milling Features:Part II-Algorithms & Implementation [J].Journal of Computing and Information Science in Engineering,2005,5(1):25-34.<br /> [11] ZHANG F J,MA J,GAO S M.Hybrid Recognition of Machining Feature [J].Journal of Computer-Aided Design & Computer Graphics,2002,14(3):228-232.(in Chinese)<br /> 张凤军,马骥,高曙明.混合加工特征识别方法[J].计算机辅助设计与图形学学报,2002,14(3):228-232.<br /> [12]LI L Z.Research on 3D Reconstruction Based Robotic Identification and Assembly Methods [D].Guangzhou:South China University of Technology,2016.(in Chinese)<br /> 李良知.基于三维重建的机器人识别与装配方法硏究[D].广州:华南理工大学,2016.<br /> [13]HORN B K P.Height and gradient from shading [J].Interna- tional Journal of Computer Vision,1990,5(1):37-75.<br /> [14]WANG G,CHENG J.Three-dimensional reconstruction of hybrid surfaces using perspective shape from shading[J].Optik-International Journal for Light and Electron Optics,2016,127(19):7740-7751.<br /> [15]BARRON J T,MALIK J.Shape,Illumination,and Reflectance from Shading[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2015,37(8):1670-1687.<br /> [16]HERBORT S,W HLER C.An introduction to image-based 3D surface reconstruction and a survey of photometric stereo me-thods[J].3d Research,2011,2(3):1-17.<br /> [17]YING X,AYAN C,RONEN B,et al.From shading to local shape [J].TPAMI,2014,37(1):67-79.<br /> [18]JAN K,ANDREA D,JOHAN W.Local Solid Shape [J].i-Perception,2015,6(5):1-15.<br /> [19]BONDE U,BADRINARAYANAN V,CIPOLLA R.Multi Scale Shape Index for 3D Object Recognition [C]∥International Conference on Scale Space and Variational Methods in Computer Vision.Springer Berlin Heidelberg,2013:306-318.<br /> [20]ZHANG C J,ZHOU X H,LI C X.Multiple view conversion platform of CAD model for complex near-net-shape product [J].Computer Integrated Manufacturing Systems,2010,16(5):922-928.(in Chinese)<br /> 张春捷,周雄辉,李从心.复杂近净成形产品CAD模型多视域转换平台[J].计算机集成制造系统,2010,16(5):922-928.<br /> [21]STEIN S C,WORGOTTER F,SCHOELER M,et al.Convexity based object partitioning for robot applications [C]∥Procee-dings of 2014 IEEE International Conference on Robotics and Automation (ICRA).Hong Kong:IEEE,2014.
[1] 刘伟业, 鲁慧民, 李玉鹏, 马宁.
指静脉识别技术研究综述
Survey on Finger Vein Recognition Research
计算机科学, 2022, 49(6A): 1-11. https://doi.org/10.11896/jsjkx.210400056
[2] 封雷, 朱登明, 李兆歆, 王兆其.
一种基于遮罩的稀疏点云滤波算法
Sparse Point Cloud Filtering Algorithm Based on Mask
计算机科学, 2022, 49(5): 25-32. https://doi.org/10.11896/jsjkx.210600129
[3] 马俊成, 蒋慕蓉, 房素芹.
基于改进Marching Tetrahedra算法的锥体气象数据三维重建
Three-dimensional Reconstruction of Cone Meteorological Data Based on Improved MarchingTetrahedra Algorithm
计算机科学, 2021, 48(11A): 644-647. https://doi.org/10.11896/jsjkx.210200025
[4] 曾俊飞,杨海清,吴浩.
面向三维重建的自适应列文伯格-马夸尔特点云配准方法
Adaptive Levenberg-Marquardt Cloud Registration Method for 3D Reconstruction
计算机科学, 2020, 47(3): 137-142. https://doi.org/10.11896/jsjkx.190200261
[5] 王钱庆, 张惊雷.
基于三维形变模型的人脸姿势表情校正
Face Pose and Expression Correction Based on 3D Morphable Model
计算机科学, 2019, 46(6): 263-269. https://doi.org/10.11896/j.issn.1002-137X.2019.06.039
[6] 周泩朴, 耿国华, 李康, 王飘.
一种基于AKAZE算法的多视图几何三维重建方法
Multi-view Geometric 3D Reconstruction Method Based on AKAZE Algorithm
计算机科学, 2018, 45(11A): 180-184.
[7] 刘金硕,江庄毅,徐亚渤,邓娟,章岚昕.
PMVS算法的CPU多线程和GPU两级粒度并行策略
Multithread and GPU Parallel Schema on Patch-based Multi-view Stereo Algorithm
计算机科学, 2017, 44(2): 296-301. https://doi.org/10.11896/j.issn.1002-137X.2017.02.050
[8] 韩磊,徐 波,黄向生,张彦峰.
基于GPU的散斑三维重建系统
Speckle Projection Systems Based on GPU
计算机科学, 2015, 42(8): 294-299.
[9] 刘明,李丽华,李哲.
基于指导滤波与二值图像组互相关匹配的3D掌纹识别
3D Palmprint Recognition Based on Guided Filter and Cross-correlation of Binary Image Groups
计算机科学, 2014, 41(9): 301-305. https://doi.org/10.11896/j.issn.1002-137X.2014.09.058
[10] 郑金鑫,汤帜,王勇涛.
基于单幅线条图的三维立体重建方法综述
Survey on 3D Reconstruction from Single Line Drawings
计算机科学, 2014, 41(1): 43-47.
[11] 李 永,殷建平,梁小龙.
基于匹配分数的多生物特征识别融合综述
Survey on Multi-biometric Fusion Based on Match Score
计算机科学, 2012, 39(10): 12-.
[12] 呼艳,耿国华,周明全,王小凤.
基于未标定彩色图像三维重建的立体匹配算法
Stereo Matching Algorithm Based on Uncalibrated Color Images for 3D Reconstruction
计算机科学, 2011, 38(7): 277-279.
[13] 李林尧,张兆翔,王蕴红,王超.
基于图像运动的三维重建及虚拟化应用
Motion-based 3D Reconstruction and Applications to Virtual Reality
计算机科学, 2011, 38(7): 273-276.
[14] 刘婷,马兆丰,蒋铭.
频谱嫡特征识别的抗去同步鲁棒性MP3水印算法
Robust MP3 Audio Watermarking Algorithm Based on MDCT Spectral Entropy Recognition
计算机科学, 2011, 38(12): 113-117.
[15] 王红霞.
基于II三维重建的facet-braiding现象分析
Analysis of Facet-braiding Based on 3D Reconstruction of Integral Imaging
计算机科学, 2010, 37(10): 248-250.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!