Key-component Detection on 3D Meshes using Local Features

Sipiran, Ivan; Bustos, Benjamin

Key-component Detection on 3D Meshes using Local Features

Files

025-032.pdf (330.4 KB)

Date

2012

Authors

Sipiran, Ivan
Bustos, Benjamin

Publisher

The Eurographics Association

Abstract

In this paper, we present a method to detect stable components on 3D meshes. A component is a region on the mesh which contains discriminative local features. Our goal is to represent a 3D mesh with a set of regions, which we called key-components, that characterize the represented object and therefore, they could be used for effective matching and recognition. As key-components are features in coarse scales, they are less sensitive to mesh deformations such as noise. In addition, the number of key-components is low compared to other local representations such as keypoints, allowing us to use them in efficient subsequent tasks. An desirable characteristic of a decomposition is that the components should be repeatable regardless shape transformations. We show in the experiments that the key-components are repeatable under several transformations using the SHREC'2010 feature detection benchmark.

        @inproceedings{:10.2312/3DOR/3DOR12/025-032
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {M. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreira
},
title = {{Key-component Detection on 3D Meshes using Local Features
}},
author = {Sipiran, Ivan and 
Bustos, Benjamin
},
year = {2012
},
publisher = {The Eurographics Association
},
ISSN = {1997-0463
},
ISBN = {978-3-905674-36-1
},
DOI = {/10.2312/3DOR/3DOR12/025-032
}
}