NDLI: Classification and Retrieval of Archaeological Potsherds Using Histograms of Spherical Orientations

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Classification and Retrieval of Archaeological Potsherds Using Histograms of Spherical Orientations

Content Provider	ACM Digital Library
Author	Roman-Rangel, Edgar Jimenez-Badillo, Diego Marchand-Maillet, Stephane
Copyright Year	2016
Description	Author Affiliation: CVMLab, University of Geneva, Geneva, Switzerland (Roman-Rangel, Edgar; Marchand-Maillet, Stephane); National Institute of Anthropology and History of Mexico, Mexico City, Mexico (Jimenez-Badillo, Diego)
Abstract	We address the problem of the statistical description of 3D surfaces with the purpose of automatic classification and retrieval of archaeological potsherds. These are particularly interesting problems in archaeology, as pottery comprises a great volume of findings in archaeological excavations. Indeed, the analysis of potsherds brings relevant cues for understanding the culture of ancient groups. In particular, we develop a new local shape descriptor for 3D surfaces, called the histogram of spherical orientations (HoSO), which we use in combination with a bag-of-words approach to compute visual similarity between 3D surfaces. Given a point of interest on a 3D surface, its local shape descriptor (HoSO) captures the distribution of the spherical orientations of its neighboring points. In turn, those spherical orientations are computed with respect to the point of interest itself, both in the azimuth and the zenith axis. The proposed HoSO is invariant to scale transformations and highly robust to rotation and noise. In addition, it is efficient, as it only exploits the information of the position of the 3D points and disregards other types of information like faces or normals. We performed experiments on a set of 3D surfaces representing potsherds from the Teotihuacan civilization and further validations on a set of 3D models of generic objects. Our results show that our methodology is effective for describing 3D models and that it improves classification performance with respect to previous local descriptors.
Starting Page	1
Ending Page	23
Page Count	23
File Format	PDF
ISSN	15564673
e-ISSN	15564711
DOI	10.1145/2948069
Journal	Journal on Computing and Cultural Heritage (JOCCH)
Volume Number	9
Issue Number	3
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	3D surface Potsherds Classification Spherical orientation
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Conservation Computer Science Applications Information Systems

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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