Automated Restoration of 3D Objects for Cultural Heritage Applications


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Charlista: 
Tobias Schreck, University of Konstanz
Fecha: 
12 Marzo, 2015 - 15:00
Sala: 
Auditorio DCC, Piso 3
Organización: 
DCC

Abstract:

Due to recent improvements in 3D acquisition and shape processing technology, the digitization of Cultural Heritage (CH) artifacts is gaining increased application in context of long-term archival of 3D objects, and for Archaeological research. This increasing availability of acquisition technologies also implies a need for intelligent processing methods that can cope with imperfect object scans. Specifically for Cultural Heritage objects, besides imperfections given by the digitization process, also the original artifact objects may be imperfect due to deterioration or fragmentation processes. Currently, the restoration (or repair) of previously digitized CH artifacts is mostly performed by expert users reassembling fragment parts and completing imperfect objects by manual modeling operations.  However, more automatic methods for CH object repair are needed to cope with increasingly large data becoming available.

In this talk, we first provide a brief survey of typical imperfections in CH artifact scan data and in turn motivate the need for respective repair methods. We survey and classify a selection of existing repair methods with respect to their applicability for CH objects, and then discuss how these approaches can be extended and combined to address various types of physical defects that are encountered in CH artifacts by proposing a flexible repair workflow for 3D digitization of CH objects. The workflow accommodates reassembly of fragment data, and completion of missing parts based on similarity-search and symmetry detection. We also discuss evaluation of the effectiveness of CH repair operations, based on a fracture benchmark we synthesized. We will conclude with a discussion of open research challenges in the area.

 

About the speaker:

 

Tobias Schreck is an Assistant Professor for Visual Analytics with the Department for Computer and Information Science at University of Konstanz, Germany. Between 2007 and 2011, he was a Postdoc researcher at Technische Universität Darmstadt, Germany, where he led a research group on visual search and analysis. He obtained a PhD in Computer Science in 2006, and a Master of Science degree in Information Engineering in 2002, both from University of Konstanz. Tobias Schreck works in the areas of Visual Analytics and 3D Similarity Search. His research interests include visual-interactive, content-based search and analysis in time-oriented, high-dimensional, and 3D object data, with applications in data analysis and multimedia retrieval. Tobias Schreck is a PI in the collaborative EU FP7 projects PRESIOUS and CONSENSUS. He has served as a co-organizer of the EG Workshop on 3D Object Retrieval, and as workshop and panel co-chair for the IEEE conference on Visual Analytics Science and Technology.