A Descriptor for Voxel Shapes Based on the Skeleton Cut Space

Feng, Cong; Jalba, Andrei C.; Telea, Alexandru C.

A Descriptor for Voxel Shapes Based on the Skeleton Cut Space

Files

013-020.pdf (6.45 MB)

Date

2016

Authors

Feng, Cong
Jalba, Andrei C.
Telea, Alexandru C.

Publisher

The Eurographics Association

Abstract

Two-dimensional medial axes and three-dimensional curve skeletons have been long used for shape retrieval tasks. In contrast, and despite their ability to fully capture shape geometry and topology, three-dimensional surface skeletons have seen much less usage in this context. We present here a framework for shape matching and retrieval based on such surface skeletons. To this end, we construct a space of cuts generated by the surface skeleton, which has desirable invariance properties with respect to shape size, rotation, translation, pose, and noise. Next, we extract a histogram-based descriptor from this cut space, and discuss three different metrics to compare such histograms for shape retrieval. We illustrate our proposal by showing our descriptor's effectiveness in shape retrieval using a known shape-database benchmark.

        @inproceedings{10.2312:3dor.20161082
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {A. Ferreira and A. Giachetti and D. Giorgi
},
title = {{A Descriptor for Voxel Shapes Based on the Skeleton Cut Space
}},
author = {Feng, Cong and 
Jalba, Andrei C. and 
Telea, Alexandru C.
},
year = {2016
},
publisher = {The Eurographics Association
},
ISSN = {1997-0471
},
ISBN = {978-3-03868-004-8
},
DOI = {10.2312/3dor.20161082
}
}