Canonical Forms for Non-Rigid 3D Shape Retrieval

Pickup, David; Sun, Xianfang; Rosin, Paul L.; Martin, Ralph R.; Cheng, Zhiquan; Nie, Sipin; Jin, Longcun

Canonical Forms for Non-Rigid 3D Shape Retrieval

Files

099-106.pdf (7.39 MB)

Date

2015

Authors

Pickup, David
Sun, Xianfang
Rosin, Paul L.
Martin, Ralph R.
Cheng, Zhiquan
Nie, Sipin
Jin, Longcun

Publisher

The Eurographics Association

Abstract

We present a new benchmark for testing algorithms that create canonical forms for use in non-rigid 3D shape retrieval. We have combined two existing datasets to create a varied collection of models for testing. Canonical forms attempt to factor out a shape's pose, giving a pose-neutral shape. This opens up the possibility of using methods originally designed for rigid retrieval for the task of non-rigid shape retrieval. We demonstrate the benchmark by using it to compare the performance of nine canonical form methods, using three different retrieval algorithms.

        @inproceedings{10.2312:3dor.20151063
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp
},
title = {{Canonical Forms for Non-Rigid 3D Shape Retrieval
}},
author = {Pickup, David and 
Sun, Xianfang and 
Rosin, Paul L. and 
Martin, Ralph R. and 
Cheng, Zhiquan and 
Nie, Sipin and 
Jin, Longcun
},
year = {2015
},
publisher = {The Eurographics Association
},
ISBN = {},
DOI = {10.2312/3dor.20151063
}
}