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In three-dimensional models obtained by photogrammetry of existingstructures, all of the shapes that the eye can select cannot always find theirequivalents in the geometric components of the model. However, the matching ofmeaningful parts and assemblages with the records acquired with rapid anddetailed documentation methods will provide an advantage for the creation ofinformation models of existing structures. While aiming to produce answers tothis problem and in order to overcome the difficulties of pattern recognitionin three-dimensional models, we used two-dimensional samples obtained byprojection. Processing techniques such as ambient occlusion, curvature andnormal maps are commonly used in modern computer graphics applications thatenable the representation of three-dimensional surface properties intwo-dimensional data sets. The method we propose is based on the recognition ofpatterns through these mappings instead of the usual light-based visualization.The first stage of the application is photogrammetric capture of a few examplesof Zeugma mosaics and three-dimensional digital modeling of a set of Seljuk erabrick walls based on knowledge obtained through architectural historyliterature. The second stage covers the creation of digital models byprocessingthe surface representation obtained from this data using Alice Vision,OpenCV-Python, and Autodesk Maya to include information on aspects of themaking of the walls. What is envisioned for the next stages is that the mappingdata contributes and supports the knowledge for rule-based design and makingprocessesof cultural heritage.

Embedded Shape Matching in Photogrammetry Data for Modeling Making Knowledge