Stereo vision system for car assembly

Yoshikatsu Kimura, Takashi Naito, Masaru Nakano, Hiroshi Moribe, Toshitaka Kuno

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

This paper presents a stereo vision system suitable for car assembly which requires recognition and localization of typical three dimensional industrial parts. The vision system should meet three requirements: fast processing, high accuracy and robustness. Both to reduce computational cost and to increase localization accuracy, Videorate Pipeline Sub-pixel Edge Extractor (VPSEE/vi:pi:si:/), which can extract sub-pixel accurate edges from a 512 × 512 gray image with Canny edge finder, has been developed. To recover a robust depth-map, the stereo algorithm which embodies several constraints, both to decide matching candidates and to calculate the strength of potential matches, uses information on 2D geometrical features recovered from edge segments. Experimental results show that this vision system can recognize complex industrial parts thus proving applicable for automation tasks.

本文言語English
ホスト出版物のタイトルProceedings - IEEE International Conference on Robotics and Automation
ページ1403-1409
ページ数7
DOI
出版ステータスPublished - 1995 1 1
外部発表はい
イベントProceedings of the 1995 IEEE International Conference on Robotics and Automation. Part 1 (of 3) - Nagoya, Jpn
継続期間: 1995 5 211995 5 27

出版物シリーズ

名前Proceedings - IEEE International Conference on Robotics and Automation
2
ISSN(印刷版)1050-4729

Other

OtherProceedings of the 1995 IEEE International Conference on Robotics and Automation. Part 1 (of 3)
CityNagoya, Jpn
Period95/5/2195/5/27

ASJC Scopus subject areas

  • ソフトウェア
  • 制御およびシステム工学
  • 人工知能
  • 電子工学および電気工学

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