Practical camera and colour calibration for large rooms

研究成果: 書貢獻/報告類型會議貢獻

10 引文 斯高帕斯(Scopus)

摘要

This paper describes a practical method for calibrating the geometry and colour information for cameras surveying large rooms. To calibrate the geometry, we use a semi-automatic system to assign real world to pixel coordinates. This information is the input to the Tsai camera calibration method. Our system uses a two stage process in which easily recognizable objects (squares) are used to sort the individual data points and to nd missing objects. Fine object features (corners) are used in a second step to determine the object’s real world coordinates. An empirical evaluation of the system shows that the average and maximum errors are suffciently small for our domain. Objects are recognized through coloured spots. The colour calibration uses six thresholds (Three colour ranges (Red, Green, and Blue) and three colour differences (Red-Green, Red - Blue, Green - Blue)). This paper describes a fast threshold comparison routine.

原文英語
主出版物標題RoboCup-99: Robot Soccer World Cup III
發行者Springer Verlag
頁面148-161
頁數14
1856
ISBN(列印)9783540410430
出版狀態已發佈 - 2000
對外發佈Yes
事件3rd Robot World Cup Soccer Games and Conferences, RoboCup 1999 - Stockholm, 瑞典
持續時間: 1999 七月 271999 八月 6

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1856
ISSN(列印)03029743
ISSN(電子)16113349

其他

其他3rd Robot World Cup Soccer Games and Conferences, RoboCup 1999
國家瑞典
城市Stockholm
期間99/7/2799/8/6

    指紋

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

引用此

Baltes, J. (2000). Practical camera and colour calibration for large rooms. 於 RoboCup-99: Robot Soccer World Cup III (卷 1856, 頁 148-161). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 1856). Springer Verlag.