Speaker: Martin Kampel
A major obstacle to the wider use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently massive and exist throughout every phase of a 3D reconstruction project: collection of images, image management, establishment of sensor position and image orientation, extracting the geometric detail describing an object, merging geometric, texture and semantic data.
This work aims to develop a solution for automated documentation of archaeological pottery, which also leads to a more complete 3D model out of multiple fragments. Generally the 3D reconstruction of arbitrary objects from their fragments can be regarded as a 3D puzzle. In order to solve it we identified the following main tasks: 3D data acquisition, orientation of the object, classification of the object and reconstruction.
3D acquisition with respect to archaeological requirements is described by four different methods, designed for the recording of fragments, complete vessels, profile sections and color. The range and pictorial information of the objects is the input for further classification and reconstruction. In the so-called documentation step the processing of the recorded data leads to orientation and the profile sections. The following classification step produces a systematic view and order of the material recorded and identifies possible candidates for subsequent fragment assembling. Reconstruction of pottery refers not only to the reconstruction of a pot from its fragments, but also to the reconstruction of a pot or fragment out of its profile section.
This thesis describes a complete system for automated documentation and reconstruction of archaeological pottery. Experiments and results are given on both synthetic and real data.