The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLI-B5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 849–855, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-849-2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 849–855, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-849-2016

  16 Jun 2016

16 Jun 2016

PHOTOGRAMMETRY-BASED AUTOMATED MEASUREMENTS FOR TOOTH SHAPE AND OCCLUSION ANALYSIS

V. A. Knyaz1 and A. V. Gaboutchian2 V. A. Knyaz and A. V. Gaboutchian
  • 1State Research Institute of Aviation System (GosNIIAS), 125319 Moscow, Russia
  • 2Moscow State Medical-Stomatological University, Moscow, Russia

Keywords: Photogrammetry, 3D reconstruction, Automation, Segmentation, Dentistry, Odontometry, Occlusiometry, Odontotomy

Abstract. Tooth measurements (odontometry) are performed for various scientific and practical applications, including dentistry. Present-day techniques are being increasingly based on 3D model use that provides wider prospects in comparison to measurements on real objects: teeth or their plaster copies. The main advantages emerge through application of new measurement methods which provide the needed degree of non-invasiveness, precision, convenience and details. Tooth measurements have been always regarded as a time-consuming research, even more so with use of new methods due to their wider opportunities. This is where automation becomes essential for further development and implication of measurement techniques. In our research automation in obtaining 3D models and automation of measurements provided essential data that was analysed to suggest recommendations for tooth preparation – one of the most responsible clinical procedures in prosthetic dentistry – within a comparatively short period of time. The original photogrammetric 3D reconstruction system allows to generate 3D models of dental arches, reproduce their closure, or occlusion, and to perform a set of standard measurement in automated mode.