Godil, A.
and Dutagaci, H.
(2012),
Evaluation of 3D Interest Point Detection Techniques via Human-generated Ground Truth, Visual Computer, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911521
(Accessed October 12, 2025)
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Evaluation of 3D Interest Point Detection Techniques via Human-generated Ground Truth
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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.Citation
Visual Computer
Pub Type
Journals
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Keywords
3D Interest Points, 3D Salient Points, 3D Shape Analysis
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Created June 29, 2012, Updated February 19, 2017