Volume III-5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 11-17, 2016
https://doi.org/10.5194/isprs-annals-III-5-11-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 11-17, 2016
https://doi.org/10.5194/isprs-annals-III-5-11-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  06 Jun 2016

06 Jun 2016

SHAPE FUNCTION-BASED ESTIMATION OF DEFORMATION WITH MOVING CAMERAS ATTACHED TO THE DEFORMING BODY

O. Jokinen1, I. Ranta2, H. Haggrén1, and P. Rönnholm1 O. Jokinen et al.
  • 1Department of Built Environment, Aalto University, FI-00076 Aalto, Finland
  • 2Mapvision Ltd., FI-00390 Helsinki, Finland

Keywords: 3-D deformation, Shape function, Close-range imagery, Moving cameras, Single image, Crane

Abstract. The paper presents a novel method to measure 3-D deformation of a large metallic frame structure of a crane under loading from one to several images, when the cameras need to be attached to the self deforming body, the structure sways during loading, and the imaging geometry is not optimal due to physical limitations. The solution is based on modeling the deformation with adequate shape functions and taking into account that the cameras move depending on the frame deformation. It is shown that the deformation can be estimated even from a single image of targeted points if the 3-D coordinates of the points are known or have been measured before loading using multiple cameras or some other measuring technique. The precision of the method is evaluated to be 1 mm at best, corresponding to 1:11400 of the average distance to the target.