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J. Imaging 2018, 4(10), 115; https://doi.org/10.3390/jimaging4100115

A Non-Structural Representation Scheme for Articulated Shapes

Department of Computer Engineering, Middle East Technical University, Ankara 06800, Turkey
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Received: 4 September 2018 / Revised: 27 September 2018 / Accepted: 2 October 2018 / Published: 8 October 2018
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Abstract

Articulated shapes are successfully represented by structural representations which are organized in the form of graphs of shape components. We present an alternative representation scheme which is equally powerful but does not require explicit modeling or discovery of structural relations. The key element in our scheme is a novel multi scale pixel-based distinctness measure which implicitly quantifies how rare a particular pixel is in terms of its geometry with respect to all pixels of the shape. The spatial distribution of the distinctness yields a partitioning of the shape into a set of regions. The proposed representation is a collection of size normalized probability distribution of the distinctness over regions over shape dependent scales. We test the proposed representation on a clustering task. View Full-Text
Keywords: 2D shapes; shape representation; Robust Principal Component Analysis (RPCA); t-Distributed Stochastic Neighbor Embedding (t-SNE) 2D shapes; shape representation; Robust Principal Component Analysis (RPCA); t-Distributed Stochastic Neighbor Embedding (t-SNE)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Genctav, A.; Tari, S. A Non-Structural Representation Scheme for Articulated Shapes. J. Imaging 2018, 4, 115.

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