The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 29–35, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-29-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 29–35, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-29-2022
 
30 May 2022
30 May 2022

A FIELD-BASED METHOD FOR ESTIMATION OF OVERLAP FOR CONVERGENT IMAGES FOR VIEW PLANNING OF BUILDINGS

A. Dashora1, C. S. Utla1, and A. V. Kulkarni2 A. Dashora et al.
  • 1Indian Institute of Technology Guwahati, Guwahati, India
  • 2Divecha Center for Climate Change, Indian Institute of Science Banaglore, Bangalore, India

Keywords: Overlap, Convergent images, Close range terrestrial photogrammetry, View planning, Building and camera geometry, Field estimation

Abstract. Overlap between two convergent images for close-range terrestrial photogrammetry is a pre-requisite for view planning of building corners. Available tools determine overlap of images that are acquired by normal geometry at a constant distance. However, for the convergent images lengths of image footprints vary according to camera position. The paper proposes a field-based method that requires to measures only geometric dimensions of image footprints in field for assessing overlap fractions for convergent images. The paper first derives the overlap fraction of convergent images as a function of image footprints, which depend upon the camera position, object geometry, and camera FOV. Experiments are conducted in field for two building corner sites. The proposed method provides conservative estimates of overlap fractions compared to that provided by image-based methods. The errors in the overlap fractions are contributed by three sources, namely, the approximations of the proposed method, uncertainty in camera positions and alignment of camera optical axis, and placement of markers in field. Experimental results suggest that the proposed method can be used confidently in field for overlap estimation for convergent images for the view planning. Images acquired for the view planning of the two corners successfully generated 3D models.