Volume XL-1/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 367–371, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W2-367-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 367–371, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W2-367-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  16 Aug 2013

16 Aug 2013

DIRECT ORTHOPHOTO GENERATION FROM COLOR POINT CLOUDS OF COMPLEX SCENES

D. Skarlatos1, S. Kiparissi1, and S. Theodoridou2 D. Skarlatos et al.
  • 1Dept. of Civil Engineering and Geomatics, Cyprus University of Technology, P.O. BOX 50329, Limassol 3603, Cyprus
  • 2Geoanalysis S.A. G. Genimata 54, Thessaloniki 55134, Greece

Keywords: Orthophoto, laser scanning, point cloud, accuracy, photogrammetry, computer vision

Abstract. During the last decade, laser scanning and automated photogrammetric techniques, proved that it is possible to acquire dense colored point cloud datasets. The density of such datasets sometimes equals or exceeds the density of orthophotos. The standard orthophoto generation process using such dense and full 3D data sets, is tedious as it requires manual corrections over the 3D mesh model, as well as mosaicking and gap filling from adjacent photographs. This paper suggests a fast automated method to produce orthophotos directly from color point clouds, without the need to create a mesh surface, nor to mosaic or fill gaps. Photos from radio controlled helicopter are being processed with traditional photogrammetric process and modern computer vision techniques, against the proposed method. Reference data from land surveying are being used to compare orthophotos from different sources.