Cloud motion as a calibration cue

Nathan Jacobs, Mohammad T. Islam, Scott Workman

Research output: Contribution to journalConference articlepeer-review

16 Scopus citations


We propose cloud motion as a natural scene cue that enables geometric calibration of static outdoor cameras. This work introduces several new methods that use observations of an outdoor scene over days and weeks to estimate radial distortion, focal length and geo-orientation. Cloud-based cues provide strong constraints and are an important alternative to methods that require specific forms of static scene geometry or clear sky conditions. Our method makes simple assumptions about cloud motion and builds upon previous work on motion-based and line-based calibration. We show results on real scenes that highlight the effectiveness of our proposed methods.

Original languageEnglish
Article number6619021
Pages (from-to)1344-1351
Number of pages8
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
StatePublished - 2013
Event26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013 - Portland, OR, United States
Duration: Jun 23 2013Jun 28 2013


  • calibration
  • motion
  • vanishing point
  • webcam

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition


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