Evaluation of 3D Interest Point Detection Techniques

Dutagaci, Helin; Cheung, Chun Pan; Godil, Afzal

Evaluation of 3D Interest Point Detection Techniques

Files

057-064.pdf (555.78 KB)

Date

2011

Authors

Dutagaci, Helin
Cheung, Chun Pan
Godil, Afzal

Publisher

The Eurographics Association

Abstract

In this paper, we compare the results of five 3D interest point detection techniques to the interest points marked by human subjects. This comparison is used to quantitatively evaluate the interest point detection algorithms. We asked human subjects to look at a number of 3D models, and mark interest points on the models via a web-based interface. We propose a voting-based method to construct ground truth out of humans' selections of interest points. Evaluation measures, namely False Positive and False Negative Errors, are then defined based on the geodesic distance between the interest points detected by a particular algorithm and the human-generated ground truth.

        @inproceedings{10.2312:3DOR/3DOR11/057-064
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {H. Laga and T. Schreck and A. Ferreira and A. Godil and I. Pratikakis and R. Veltkamp
},
title = {{Evaluation of 3D Interest Point Detection Techniques
}},
author = {Dutagaci, Helin and 
Cheung, Chun Pan and 
Godil, Afzal
},
year = {2011
},
publisher = {The Eurographics Association
},
ISSN = {1997-0463
},
ISBN = {978-3-905674-31-6
},
DOI = {10.2312/3DOR/3DOR11/057-064
}
}