Fast vanishing point estimation based on particle swarm optimization

Xun Pan, Wa Si, Harutoshi Ogai

研究成果: Article

1 引用 (Scopus)

抜粋

Vanishing point estimation is an important issue for vision based road detection, especially in unstructured roads. However, most of the existing methods suffer from the long calculating time. This paper focuses on improving the efficiency of vanishing point estimation by using a heuristic voting method based on particle swarm optimization (PSO). Experiments prove that with our proposed method, the efficiency of vanishing point estimation is significantly improved with almost no loss in accuracy. Moreover, for sequenced images, this method is further improved and can get even better performance, by making full use of inter-frame information to optimize the performance of PSO.

元の言語English
ページ(範囲)505-513
ページ数9
ジャーナルIEICE Transactions on Information and Systems
E99D
発行部数2
DOI
出版物ステータスPublished - 2016 2 1

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Software
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition

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