Model-based pose estimation for texture-less objects with differential evolution algorithm

Linh Tao, Tinh Nguyen, Hiroshi Hasegawa

研究成果: Conference article査読

抄録

This paper proposes a novel object-Tracking method to estimate three dimensions position of texture-less objects using one camera system and 3D model. The system uses efficient chamfer matching method to calculated distances between 2D edge templates of pose hypotheses with edges from the Canny edge query image. Differential Evolution algorithm uses those distances as inputs to ensure the close optimum results and find the most suitable position of objects. For initialization the exhaustive searching is employed. With the good initialization, a smaller searching space is set to guaranty the online tracking ability. The first results showed the potential of the method in solving object tracking and detection problem.

本文言語English
論文番号15001
ジャーナルMATEC Web of Conferences
108
DOI
出版ステータスPublished - 2017 5 31
イベント2017 International Conference on Mechanical, Aeronautical and Automotive Engineering, ICMAA 2017 - Malacca, Malaysia
継続期間: 2017 2 252017 2 27

ASJC Scopus subject areas

  • Chemistry(all)
  • Materials Science(all)
  • Engineering(all)

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