Volume XLII-2/W12
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W12, 117-122, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W12-117-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W12, 117-122, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W12-117-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  09 May 2019

09 May 2019

VISION BASED AUTOMATED ANTHROPOLOGICAL MEASUREMENTS AND ANALYSIS

V. A. Knyaz1,2, A. A. Maksimov1, and M. M. Novikov3 V. A. Knyaz et al.
  • 1State Research Institute of Aviation System (GosNIIAS), 125319 Moscow, Russia
  • 2Moscow Institute of Physics and Technology (MIPT), Russia
  • 3Research Center Crystallography and Photonics RAS, Shatura, Russia

Keywords: photogrammetry, 3D reconstruction, photorealistic texturing, accuracy, identification, anthropology

Abstract. Modern techniques of optical 3D measurements such as photogrammetry, computer tomography, laser 3D scanning provide new possibilities for acquiring accurate 2D and 3D data of high resolution, thus creating new conditions for anthropological data analysis. Traditional anthropological manual point measurements can be substituted by analysis of accurate textured 3D models, which allow to retrieve more information about studied object and easily to share data for independent analysis. The paper presents the vision-based techniques for anthropological measurement and investigation needed in various applications, such as morphometric analysis, craniofacial identification, face approximation and other. Photogrammetric methods and their practical implementation in the automatic system for accurate digital 3D reconstruction of anthropological objects are described.