Evaluation of 3D interest point detection techniques via human-generated ground truth

Authors:
Helin Dutagaci;Chun Pan Cheung;Afzal Godil
Affiliations:
Eskisehir Osmangazi University, Electrical-Electronics Engineering Department, Eskisehir, Turkey;National Institute of Standards and Technology (NIST), Gaithersburg, USA;National Institute of Standards and Technology (NIST), Gaithersburg, USA
Venue:
The Visual Computer: International Journal of Computer Graphics - 3DOR 2011
Year:
2012

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Abstract

In this paper, we present an evaluation strategy based on human-generated ground truth to measure the performance of 3D interest point detection techniques. We provide quantitative evaluation measures that relate automatically detected interest points to human-marked points, which were collected through a web-based application. We give visual demonstrations and a discussion on the results of the subjective experiments. We use a voting-based method to construct ground truth for 3D models and propose three evaluation measures, namely False Positive and False Negative Errors, and Weighted Miss Error to compare interest point detection algorithms.