Journal ArticleDOI
Classification and Retrieval of Archaeological Potsherds Using Histograms of Spherical Orientations
TLDR
A new local shape descriptor for 3D surfaces, called the histogram of spherical orientations (HoSO), is developed, which is used in combination with a bag-of-words approach to compute visual similarity between3D surfaces.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.read more
Citations
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Journal ArticleDOI
A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds.
TL;DR: In this paper, a shape feature recognizer is proposed to support the semantic decomposition of the ancient artifact into archaeological features, with a structured database, able to query the large amount of information extracted.
Journal ArticleDOI
SHREC 2021: Retrieval of cultural heritage objects
Ivan Sipiran,Patrick Lazo,Cristian Lopez,Milagritos Jimenez,Nihar Bagewadi,Benjamin Bustos,Hieu Dao,Shankar Gangisetty,Martin Hanik,Ngoc-Phuong Ho-Thi,Mike Holenderski,Dmitri Jarnikov,Arniel Labrada,Stefan Lengauer,Roxane Licandro,Dinh-Huan Nguyen,Thang-Long Nguyen-Ho,Luis A. Pérez Rey,Bang-Dang Pham,Minh-Khoi Pham,Reinhold Preiner,Tobias Schreck,Quoc-Huy Trinh,Loek Tonnaer,Christoph von Tycowicz,The-Anh Vu-Le +25 more
TL;DR: The results show a predominance of learning methods on image-based multi-view representations to characterize 3D objects, and the problem presented in the challenges is far from being solved.
Journal ArticleDOI
The assessment of 3D model representation for retrieval with CNN-RNN networks
TL;DR: The Euclidean distance is used to obtain the similarity measure between two different models for the retrieval problem and several classic 3D model retrieval and classification methods are leveraged as comparison methods in this paper.
Journal ArticleDOI
Classification of 3D Archaeological Objects Using Multi-View Curvature Structure Signatures
Mario Canul-Ku,Rogelio Hasimoto-Beltran,Diego Jimenez-Badillo,Salvador Ruiz-Correa,Edgar Roman-Rangel +4 more
TL;DR: A generalized 3D shape descriptor for the efficient classification of 3D archaeological artifacts is proposed, able to capture sufficient information to discern among different classes, concluding that it adequately characterizes the datasets.
Journal ArticleDOI
Modeling and Processing of Smart Point Clouds of Cultural Relics with Complex Geometries
TL;DR: Wang et al. as mentioned in this paper proposed an information modeling framework for complex geometric cultural relics based on the concept of smart point clouds, in which 3D point cloud data are organized through the time dimension and different spatial scales indicating different geometric details.
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