JOURNAL OF TEXTILE RESEARCH ›› 2017, Vol. 38 ›› Issue (08): 156-160.doi: 10.13475/j.fzxb.20160801505

Previous Articles     Next Articles

Fabric curved surface seam extraction using binocular vision and stitching path planning

  

  • Received:2016-08-08 Revised:2017-05-04 Online:2017-08-15 Published:2017-08-10

Abstract:

Aiming at the seam automatic extraction and the stitching path planning of curve surface fabrics, a seam automatic recognition method based on binocular vision was proposed. Combined the spatial position conversion between three dimensional points cloud and the two dimensional image of a stitched prefabricated part, the map of the seam in two dimensional image of the prefabricated paart in the three dimensional points cloud was acquired. Furthermore, Freenet-Serret vectors in all positions of the stitching path were calculated by a path designing method based on Frenet-Serret vectors, the posture of a robot terminal was calculated, and the stitching path of the robot was simulated using MatLab. The experimental results show that the method can position the spatial positions of a seam accurately and quickly and solve the problems in the automatic stitching process on difficut stitching path search and low precision, and can also plan a stitching path of the robot quickly.

Key words: curve surface fabric, binocular vision, seam position, Frenet-Serret vector, stitching path planning

[1] . Optical triangulation and its applications in body measurement [J]. JOURNAL OF TEXTILE RESEARCH, 2012, 33(12): 95-101.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!