The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 109–114, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-109-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 109–114, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-109-2017

  10 May 2017

10 May 2017

PHOTOGRAMMETRIC TECHNIQUES FOR ANALYSIS AND VISUALIZATION OF CHANGES IN 2D AND 3D DATA: PLASTIC SURGERY APPLICATION

V. A. Knyaz1,2, S. Y. Zheltov1,2, and A. Chibunichev3 V. A. Knyaz et al.
  • 1State Research Institute for Aviation System (GosNIIAS), Moscow, Russia
  • 2Moscow Institute of Physics and Technology (MIPT), Moscow, Russia
  • 3Moscow State University of Geodesy and Cartography (MIIGAiK), Moscow, Russia

Keywords: Photogrammetry, 3Dreconstruction, shape changes, visualization, human body, texturing, data fusion

Abstract. Accurate measurements of 3D scenes and change detection of spatial distributed data are of great importance in different areas of research and application. For more accurate data analysis it is useful to take into account the all available data from various sensors and sources. The common case is that the different kinds of data available in their own coordinate systems and it is needed to transform all data in common coordinate system. This can be provided by finding correspondence between features in data of different types and different sources. Photogrammetry provides structurally connected 2D and 3D data which gives valuable information about correspondence of 2D and 3D features. The approaches to 2D and 3D data fusion and analysis are proposed which are based on complex processing of 2D and 3D data for changes detection and visualization. The techniques for data fusion are developed. The results of applying the developed techniques are presented for plastic surgery application.