Abstract
The number of 3D models is growing every day and the segmentation of such models has recently attracted a lot of attention. In this paper we propose a two-phase approach for segmentation of 3D models. We leverage a well-known fact from electrical physics about charge distribution for both initial protruding part extraction and boundary detection. The first phase tries to locate the initial protruding parts, which have higher charge density, while the second phase utilizes the minima rule and an area-based approach to find the boundary in the concave regions. The proposed approach has a great advantage over the similar approach proposed by Wu and Levine [1]; our approach can find boundaries for some joining parts not entirely located in the concave region which is not the case in the work of Wu and Levine. The experimental result on the McGill and SHREC 2007 datasets show promising results for partial matching in 3D model retrieval.
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Alizadeh, F., Sutherland, A. (2013). 3D Mesh Decomposition Using Protrusion and Boundary Part Detection. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_16
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DOI: https://doi.org/10.1007/978-3-642-40246-3_16
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