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


Dutağacı H. , Cheung C. P. , Godil A.

VISUAL COMPUTER, vol.28, pp.901-917, 2012 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 28
  • Publication Date: 2012
  • Doi Number: 10.1007/s00371-012-0746-4
  • Title of Journal : VISUAL COMPUTER
  • Page Numbers: pp.901-917

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.