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A new convexity measurement for 3D meshes

Lian, Zhouhui, Godil, Afzal, Rosin, Paul L. and Sun, Xianfang 2012. A new convexity measurement for 3D meshes. Presented at: IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, 16-21 June 2012. 2012 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, pp. 119-126. 10.1109/CVPR.2012.6247666

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Abstract

This paper presents a novel convexity measurement for 3D meshes. The new convexity measure is calculated by minimizing the ratio of the summed area of valid regions in a mesh's six views, which are projected on faces of the bounding box whose edges are parallel to the coordinate axes, to the sum of three orthogonal projected areas of the mesh. The complete definition, theoretical analysis, and a computing algorithm of our convexity measure are explicitly described. This paper also proposes a new 3D shape descriptor CD (i.e., Convexity Distribution) based on the distribution of above-mentioned ratios, which are computed by randomly rotating the mesh around its center, to better describe the object's convexity-related properties compared to existing convexity measurements. Our experiments not only show that the proposed convexity measure corresponds well with human intuition, but also demonstrate the effectiveness of the new convexity measure and the new shape descriptor by significantly improving the performance of other methods in the application of 3D shape retrieval.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: IEEE
ISBN: 9781467312264
ISSN: 1063-6919
Last Modified: 13 Apr 2020 15:00
URI: http://orca.cf.ac.uk/id/eprint/54023

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