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Robust Ellipse Detection via Duality Principle with a False Determination Control

  • Huixu Dong
  • I-Ming Chen
  • Dilip K. Prasad
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 704)

Abstract

In this paper, we propose a novel ellipse detection approach that eliminates false detection-based parameter space decomposition, principal of symmetric tangents, and a novel geometric constraint utilizing properties of tangents of ellipses. The principle of symmetric tangents provides better computational efficiency through confirmation of the ellipse center in the decomposed parameter space. The geometric constraint is used for alleviating the false detection probability. The experimental results confirm that the approach detects ellipse with an excellent accuracy at a high speed.

Keywords

Ellipse detection Principle of geometric duality Geometric constraints False positive control Least squares 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Robotics Research Centre, Nanyang Technological UniversitySingaporeSingapore
  2. 2.School of Computer Science and EngineeringNanyang Technological UniversitySingaporeSingapore

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