Volume III-5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 121-128, 2016
https://doi.org/10.5194/isprs-annals-III-5-121-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 121-128, 2016
https://doi.org/10.5194/isprs-annals-III-5-121-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  06 Jun 2016

06 Jun 2016

3D CENTRAL LINE EXTRACTION OF FOSSIL OYSTER SHELLS

A. Djuricic1,2, E. Puttonen3,4, M. Harzhauser2, O. Mandic2, B. Székely5, and N. Pfeifer1 A. Djuricic et al.
  • 1TU WIEN, Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria
  • 2Geological Paleontological Department, Natural History Museum Vienna, Vienna, Austria
  • 3Finnish Geospatial Research Institute in the National Land Survey of Finland, Department of Remote Sensing and Photogrammetry, Finland
  • 4Centre of Excellence in Laser Scanning Research, Geodeetinrinne 2, Masala 02431, Finland
  • 5Department of Geophysics and Space Science, Eötvös Loránd University, Hungary

Keywords: TLS, point cloud, DSM, Delaunay triangulation, Voronoi diagram, Bézier curve, Crassostrea gryphoides

Abstract. Photogrammetry provides a powerful tool to digitally document protected, inaccessible, and rare fossils. This saves manpower in relation to current documentation practice and makes the fragile specimens more available for paleontological analysis and public education. In this study, high resolution orthophoto (0.5 mm) and digital surface models (1 mm) are used to define fossil boundaries that are then used as an input to automatically extract fossil length information via central lines. In general, central lines are widely used in geosciences as they ease observation, monitoring and evaluation of object dimensions. Here, the 3D central lines are used in a novel paleontological context to study fossilized oyster shells with photogrammetric and LiDAR-obtained 3D point cloud data. 3D central lines of 1121 Crassostrea gryphoides oysters of various shapes and sizes were computed in the study. Central line calculation included: i) Delaunay triangulation between the fossil shell boundary points and formation of the Voronoi diagram; ii) extraction of Voronoi vertices and construction of a connected graph tree from them; iii) reduction of the graph to the longest possible central line via Dijkstra’s algorithm; iv) extension of longest central line to the shell boundary and smoothing by an adjustment of cubic spline curve; and v) integration of the central line into the corresponding 3D point cloud. The resulting longest path estimate for the 3D central line is a size parameter that can be applied in oyster shell age determination both in paleontological and biological applications. Our investigation evaluates ability and performance of the central line method to measure shell sizes accurately by comparing automatically extracted central lines with manually collected reference data used in paleontological analysis. Our results show that the automatically obtained central line length overestimated the manually collected reference by 1.5% in the test set, which is deemed sufficient for the selected paleontological application, namely shell age determination.