Reconstructing Power Lines from Images

Proc. IVCNZ Image and Vision Conference New Zealand, page 1-6 - 2018
Download the publication : powerlines.pdf [1.2Mo]  


We present a novel method for 3D reconstruction of overhead power lines from a few images. The solution to this problem has a deep impact over the strategies adopted to monitor the many thousand kilometres of powerlines innervating our countries;currently, the only effective solution is based on the use of high-end laser scanners mounted on drones. The difficulty with image-based 3D reconstruction algorithms is that images of wires of the power lines typically do not have point features to match among different images. We leverage on a few assumptions that can be made on the power lines case and define an ad-hoc strategy for solving the problem. We first use a Structure from Motion algorithm to retrieve the approximate camera poses and then formulate a minimization problem to simultaneously define a 3D wire hypothesis and refine the camera poses so that the projections of that wire are consistent on the supporting images.

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BibTex references

  author       = "Ganovelli, Fabio and Malomo, Luigi and Scopigno, Roberto",
  title        = "Reconstructing Power Lines from Images",
  booktitle    = "Proc. IVCNZ Image and Vision Conference New Zealand",
  pages        = "1-6",
  year         = "2018",
  publisher    = "IEEE",
  url          = ""

Other publications in the database

» Fabio Ganovelli
» Luigi Malomo
» Roberto Scopigno