GSHOT: a Global Descriptor from SHOT to Reduce Time and Space Requirements

Mateo, Carlos M.; Gil, Pablo; Torres, Fernando

GSHOT: a Global Descriptor from SHOT to Reduce Time and Space Requirements

Files

059-062.pdf (631.76 KB)

Date

2017

Authors

Mateo, Carlos M.
Gil, Pablo
Torres, Fernando

Publisher

The Eurographics Association

Abstract

This paper presents a new 3D global feature descriptor for object recognition using shape representation on organized point clouds. Object recognition applications usually require significant speed and memory. The proposed descriptor requires 57 times less memory and it is also up to 3 times faster than the local feature descriptor in which it is based. Experimental results indicate that this new 3D global descriptor obtains better matching scores in comparison with known state-of-the-art 3D feature descriptors on two standard benchmark dataset.

        @inproceedings{10.2312:3dor.20171053
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {Ioannis Pratikakis and Florent Dupont and Maks Ovsjanikov
},
title = {{GSHOT: a Global Descriptor from SHOT to Reduce Time and Space Requirements
}},
author = {Mateo, Carlos M. and 
Gil, Pablo and 
Torres, Fernando
},
year = {2017
},
publisher = {The Eurographics Association
},
ISSN = {1997-0471
},
ISBN = {978-3-03868-030-7
},
DOI = {10.2312/3dor.20171053
}
}