Dem and Orthophoto Generation in Close Range Photogrammetry

  • G. Forlani
  • E. S. Malinverni
Part of the International Centre for Mechanical Sciences book series (CISM, volume 365)


While digital rectification may be often adequate to document architectural surveys, sometimes the object characteristics prevent such a simple approach. If a truly 3D object model is required, methods for automating object surface reconstruction become necessary, to reduce production time and costs and to avoid the use of highly qualified personnel. Though, at a first sight, just a side issue in the more general context of GIS for architecture, inexpensive and reliable methods for object reconstruction are crucial, since without a data acquisition stage actually affordable, GIS will not gain a foothold in architecture, but for a few, nice looking and expensive projects.

In the following we introduce an automatic approach to DEM generation, which makes use of an initial coarse DEM (to update iteratively) and of the epipolar constraint in order to limit the search space for corresponding points.

The procedure has been applied to a pair of photographs of an architectonic element of the church of S.Pietro in Ciel d’Oro in Pavia (Italy), to generate a digital orthophoto.


Surface Reconstruction Spline Interpolation Conjugate Point Bundle Adjustment Epipolar Line 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Ackermann F., Haan M. (1991): Image pyramids for digital photogrammetry. In: Digital Photogrammetric Systems, Ebner/Fritsch/Heipke ( Eds ), Wichmann Verlag, 43–58.Google Scholar
  2. 2.
    Baltsavias E. (1991): Multiphoto geometrically constrained matching. Institut für Geodasie und Photogrammetrie, Mitteilungen n. 49, ETH, Zurich.Google Scholar
  3. 3.
    Baltsavias E. (1994): Test and calibration procedures for DTP scanners. IntArchPhRS vol 30, Part 1/1, 163–170.Google Scholar
  4. 4.
    B. Crippa, G. Forlani, A. de Haan (1993): Automatic deformation measurement from digital images. In: Optical 3-D Measurement Techniques II, Gruen/Kahmen ( Ed’s ), Wichman Verlag, 1993, 557–563.Google Scholar
  5. 5.
    Förstner W. (1986): A feature based corrispondence algorithm for image matching. IntArchPhRS vol 26, part 3/3, 150–166.Google Scholar
  6. 6.
    Georgopoulos A. (1994): Digital rectification using a PC. IntArchPhRS vol 30, Part 5, 102–108.Google Scholar
  7. 7.
    Gonzalez R.C, Woods R:E. (1992): Digital Image Processing. Addison-Wesley Publishing Company.Google Scholar
  8. 8.
    Kraus K. (1994): Photogrammetry. Dümmler Verlag, Bonn.Google Scholar
  9. 9.
    Malinverni E.S. (1993): S Pietro in Ciel d’Oro: un’applicazione della fotogrammetria come metodo di controllo non distruttivo dello stato di degrado. Rivista del Dipartimento del Territorio n° 2–3, 1993.Google Scholar
  10. Mayr W., Heipke C. (1988): A contribution to digital orthophoto generation. IntArchPhRS, vol. 27, Part B11, 430–438.Google Scholar

Copyright information

© Springer-Verlag Wien 1996

Authors and Affiliations

  • G. Forlani
    • 1
  • E. S. Malinverni
    • 1
  1. 1.Polytechnic of MilanMilanItaly

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