A 2D Shape Structure for Decomposition and Part Similarity - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2016

A 2D Shape Structure for Decomposition and Part Similarity

Abstract

This paper presents a multilevel analysis of 2D shapes and uses it to find similarities between the different parts of a shape. Such an analysis is important for many applications such as shape comparison, editing, and compression. Our robust and stable method decomposes a shape into parts, determines a parts hierarchy, and measures similarity between parts based on a salience measure on the medial axis, the Weighted Extended Distance Function, providing a multi-resolution partition of the shape that is stable across scale and articulation. Comparison with an extensive user study on the MPEG-7 database demonstrates that our geometric results are consistent with user perception.
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Dates and versions

hal-01374810 , version 1 (01-10-2016)

Identifiers

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Kathryn Leonard, Géraldine Morin, Stefanie Hahmann, Axel Carlier. A 2D Shape Structure for Decomposition and Part Similarity. ICPR 2016 - 23rd International Conference on Pattern Recognition, Dec 2016, Cancun, Mexico. pp.3216-3221, ⟨10.1109/ICPR.2016.7900130⟩. ⟨hal-01374810⟩
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