Multi-camera 3D object reconstruction for industrial automation

Malamati Bitzidou, Dimitrios Chrysostomou, Antonios Gasteratos

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)

Abstract

In this paper, a method to automate industrial manufacturing processes using an intelligent multi-camera system to assist a robotic arm on a production line is presented. The examined assembly procedure employs a volumetric method for the initial estimation of object’s properties and an octree decomposition process to generate the path plans for the robotic arm. Initially, the object is captured by four cameras and its volumetric representation is produced. Thereafter, a quality check with its respective CAD model is performed and the final details of the 3D model are refined. An octree decomposition technique is utilized afterwards to facilitate the automatic generation of the assembly path plans and translate them to a sequence of movements for the robotic arm. The algorithm is fast, computationally simple and produces an assembly sequence that can be translated to any major robotic programming language. The proposed algorithm is assessed and preliminary experimental results are discussed.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Advances in Production Management Systems (APMS '12)
Number of pages8
Volume397
PublisherSpringer Publishing Company
Publication date2 Sept 2012
Pages526-533
ISBN (Print)978-3-642-40351-4
ISBN (Electronic)978-3-642-40352-1
DOIs
Publication statusPublished - 2 Sept 2012
Externally publishedYes

Keywords

  • object assembly
  • multi-camera system
  • octree decomposition
  • 3D reconstruction
  • industrial automation

Fingerprint

Dive into the research topics of 'Multi-camera 3D object reconstruction for industrial automation'. Together they form a unique fingerprint.

Cite this