GRIRApr 11, 2018

Experimental similarity assessment for a collection of fragmented artifacts

arXiv:1804.03979v15 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of cross-correlation and searching across collections for archaeologists and curators, but it is incremental as it reviews and critiques existing methods.

The paper examines how well existing 3D similarity matching techniques can handle fragment similarity for damaged artifacts in the Visual Heritage domain, identifying gaps and necessary developments.

In the Visual Heritage domain, search engines are expected to support archaeologists and curators to address cross-correlation and searching across multiple collections. Archaeological excavations return artifacts that often are damaged with parts that are fragmented in more pieces or totally missing. The notion of similarity among fragments cannot simply base on the geometric shape but style, material, color, decorations, etc. are all important factors that concur to this concept. In this work, we discuss to which extent the existing techniques for 3D similarity matching are able to approach fragment similarity, what is missing and what is necessary to be further developed.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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