Abstract
This contribution introduces ICARO-3D, an on going research project which is focused on developing computer-based methods for the automatic reconstruction and categorization/classification of archaeological remains. The system provides a pipeline facing the two main stages of the procedure, a.k.a the 3D reconstruction and the categorization of archaeological remains. In this work, we describe the approach adopted in the latter stage. While our 3D reconstruction procedure provides a 3D model using Soft computing techniques, the categorization of the modeled remains deals with exploiting the descriptive power of the well-known Viewpoint Feature Histogram (VFH) descriptor. The conducted experiments reveal us the promising results of the considered approach. Moreover, our contribution follows a reproducible research (RR) policy in order to guarantee the integrity of the reported results. Then, both the source code and the image datasets are accordingly available.
J. Santamara—Research supported by Departamento de Informática, University of Jaén.
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Santamaría, J., Bermejo, E., Enríquez, C., Damas, S., Cordón, Ó. (2018). New Application of 3D VFH Descriptors in Archaeological Categorization: A Case Study. In: Pérez García, H., Alfonso-Cendón, J., Sánchez González, L., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding. SOCO ICEUTE CISIS 2017 2017 2017. Advances in Intelligent Systems and Computing, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-67180-2_22
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DOI: https://doi.org/10.1007/978-3-319-67180-2_22
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