Practical single view metrology for cuboids

Nick Pears, Paul Wright, Chris Bailey

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Generally it is impossible to determine the size of an object from a single image due to the depth-scale ambiguity problem. However, with knowledge of the geometry of the scene and the existence of known reference dimensions in the image, it is possible to infer the real world dimensions of objects with only a single image. In this paper, we investigate different methods of automatically determining the dimensions of cuboids (rectangular boxes) from a single image, using a novel reference target. In particular, two approaches will be considered: the first will use the cross-ratio projective invariant and the other will use the planar homography. The accuracy of the measurements will be evaluated in the presence of noise in the feature points. The effects of lens distortions on the accuracy of the measurements will be investigated. Automatic feature detection techniques will also be considered.

Original languageEnglish
Title of host publicationVISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Volume IU/MTSV
EditorsAK Ranchordas, H Araujo, J Vitria
Place of PublicationSETUBAL
Number of pages6
ISBN (Print)978-972-8865-74-0
Publication statusPublished - 2007
Event2nd International Conference on Computer Graphics Theory and Applications - Barcelona
Duration: 8 Mar 200711 Mar 2007


Conference2nd International Conference on Computer Graphics Theory and Applications


  • single view metrology
  • 3D measurement
  • feature detection
  • planar homographys
  • projective invariants

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