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Author Biasotti, Silvia ♦ Cerri, Andrea ♦ Falcidieno, Bianca ♦ Spagnuolo, Michela
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Textured shape analysis ♦ Classification ♦ Comparison ♦ Processing of 3D digital representations ♦ Tools for reconstruction
Abstract Archaeological artifacts are often classified in homogeneous groups, according to either intangible properties (e.g., origin, use, age) or physical features (e.g., color, material, geometric shape, size, style). In particular, a single property is usually not enough to characterize artifacts’ peculiar traits, as most of the objects are affected by degradation or only partially preserved. In this article, we propose a shape analysis and comparison pipeline specifically targeted to the similarity assessment of real-world 3D artifacts. The proposed methodology is able to concurrently evaluate heterogeneous properties, such as geometric (e.g., curvature, size, roundness, or mass distribution) and photometric (e.g., texture, color distribution, or reflectance) aspects. The geometric description is based on a statistical technique to select properties that are mutually independent; the photometric information is handled according to a topological perspective and complemented by the analysis of color distribution. The outcome is a mixed description of each 3D artifact, which is used to derive a similarity measure between objects. The potential of our approach is high because any property representable as real- or vector- valued functions can be easily added in our framework. Experimental results carried on an existing collection of textured triangle meshes are exhibited to show the potentiality of the method in retrieval and classification tasks.
ISSN 15564673
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-08-01
Publisher Place New York
e-ISSN 15564711
Journal Journal on Computing and Cultural Heritage (JOCCH)
Volume Number 8
Issue Number 4
Page Count 19
Starting Page 1
Ending Page 19

Source: ACM Digital Library