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|Author(s):||Afzal A. Godil; Helin Dutagaci;|
|Title:||Evaluation of 3D Interest Point Detection Techniques via Human-generated Ground Truth|
|Published:||June 29, 2012|
|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.|
|Keywords:||3D Interest Points, 3D Salient Points, 3D Shape Analysis|
|Research Areas:||Data Mining, Modeling, Software, Information Processing Systems, Information Technology, Imaging|
|PDF version:||Click here to retrieve PDF version of paper (3MB)|