A Segmentation Transfer Approach for Rigid Models

Abstract : 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.
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Article dans une revue
Journal of Information Science and Engineering, Academia Sinica, 2015, 31 (3), pp.993-1009. 〈http://www.iis.sinica.edu.tw/page/jise/2015/201505_12.html〉
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https://hal.inria.fr/hal-01081374
Contributeur : Anne Verroust-Blondet <>
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Dernière modification le : vendredi 24 novembre 2017 - 15:36:04
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  • HAL Id : hal-01081374, version 1

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Esma Elghoul, Anne Verroust-Blondet, Mohamed Chaouch. A Segmentation Transfer Approach for Rigid Models. Journal of Information Science and Engineering, Academia Sinica, 2015, 31 (3), pp.993-1009. 〈http://www.iis.sinica.edu.tw/page/jise/2015/201505_12.html〉. 〈hal-01081374〉

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