SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys

Document Type

Conference Proceeding

Publication Date

1-1-2017

School

Computing Sciences and Computer Engineering

Abstract

© 2017 The Eurographics Association. In this paper, we present the results of the SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. The aim of this track is to create a fair benchmark to evaluate the performance of methods on the non-rigid point-cloud shape retrieval problem. The database used in this task contains 100 3D point-cloud models which are classified into 10 different categories. All point clouds were generated by scanning each one of the models in their final poses using a 3D scanner, i.e., all models have been articulated before scanned. The retrieval performance is evaluated using seven commonly-used statistics (PR-plot, NN, FT, ST, E-measure, DCG, mAP). In total, there are 8 groups and 31 submissions taking part of this contest. The evaluation results shown by this work suggest that researchers are in the right way towards shape descriptors which can capture the main characteristics of 3D models, however, more tests still need to be made, since this is the first time we compare non-rigid signatures for point-cloud shape retrieval.

Publication Title

Eurographics Workshop on 3D Object Retrieval, EG 3DOR

Volume

2017-April

First Page

75

Last Page

84

Link to Full Text

Find in your library

Share

COinS