Computer Science

Computer Science ›› 2019, Vol. 46 ›› Issue (7): 280-285.doi: 10.11896/j.issn.1002-137X.2019.07.043

• Graphics, Image & Pattern Recognition • Previous Articles     Next Articles

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

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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

CLC Number: 

  • TP391
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