Two-Dimensional Shape Analysis of Complex Geometry Based on Photogrammetric Models of Iconostases

Three-dimensional digitization technologies have been proved as reliable methods for detailed and accurate spatial data collection from existing cultural heritage. In addition, the point segmentation techniques are particularly relevant contour detection classification of unstructured cloud. This paper describes an approach to obtain 2D CAD-like visualizations complex geometry photogrammetric models so that detected contours particular object elements can be used shape analysis. The work process uses clouds derived create plane visualization object’s by segmenting points based on verticality geometric feature. research presented is case studies iconostases specific art architectural Christian Orthodox church appreciated only in situ. To determine relations between characteristics shapes iconostases’ style origins, mathematical method analysis was applied. study aims numerically describe stylistic main parts iconostasis concerning artistic period which it belongs to. concept consideration global descriptors associated measurements were analyze classify iconostases. methodology applied representative examples three Baroque Classicism movements. results illustrated proposed techniques, with certain improvements, could helpful CAD geometry.