Automatic self-calibration of digital cameras for close-range photogrammetry

Sendo Wang, Yi Hsing Tseng

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


Digital cameras are getting widely used due to their operation conveniences and real-time processing capabilities. Although digital cameras have been considered suitable to photogrammetric tasks, their metric characteristics are not clear and stable as traditional metric cameras. A real-time on-the-job calibration is, therefore, required before a digital camera can be applied for a photogrammetric task. The technique of self-calibration is considered an effective means for digital camera calibration, but a large amount of image measurements are required. To solve this problem, we designed a new text-coded target and proposed an automatic process to detect, position, and identity the targets. Automatic camera calibration can be achieved by integrating this automatic measuring process and bundle adjustment computation. The experimental results are encouraging and optimally show the feasibility of the proposed method.

Original languageEnglish
Pages (from-to)157-163
Number of pages7
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Publication statusPublished - 2000
Externally publishedYes
Event19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Netherlands
Duration: 2000 Jul 162000 Jul 23


  • Automatic Target Identification
  • Camera Calibration
  • Close-range Photogrammetry
  • Image Matching
  • Self-calibration
  • Text-coded Target

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development


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