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Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation Read chapter Read first chapter

2018 | OriginalPaper | Chapter

New Application of 3D VFH Descriptors in Archaeological Categorization: A Case Study

Authors : José Santamaría, Enrique Bermejo, Carlos Enríquez, Sergio Damas, Óscar Cordón

Published in: International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Publisher: Springer International Publishing

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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.

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Metadata
Title
New Application of 3D VFH Descriptors in Archaeological Categorization: A Case Study
Authors
José Santamaría
Enrique Bermejo
Carlos Enríquez
Sergio Damas
Óscar Cordón
Copyright Year
2018
Book
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Print ISBN: 978-3-319-67179-6

Electronic ISBN: 978-3-319-67180-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67180-2_22

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