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Journal of Information Science and Engineering, Vol. 31 No. 3, pp. 993-1009 (May 2015)


A Segmentation Transfer Approach for Rigid Models


ESMA ELGHOUL*, ANNE VERROUST-BLONDET* AND MOHAMED CHAOUCH+
*Inria Paris-Rocquencourt, Domaine de Voluceau
78153 Le Chesnay Cedex, France
+CEA List Diasi, CEA Saclay V Nano Innov
91191 Gif sur Yvette Cedex, France

In this paper, we propose using a segmented example model to perform a semantic oriented segmentation of rigid 3D models of the same class (tables, chairs, etc.). For this, we introduce an alignment method that maps the meaningful parts of the models and we develop a novel approach based on random walks to transfer a consistent segmentation from the example to the target model. The example-driven segmentation is fast and entirely automatic. We demonstrate the effectiveness of our approach through multiple results of inter-shape segmentation transfer presented for different classes of rigid models.

Keywords: segmentation transfer, 3D alignment, random walks, consistent labeling, graph partitioning

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Received November 6, 2013; revised February 19, 2014; accepted April 2, 2014.
Communicated by Yung-Yu Chuang.