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  • 标题:A Contrario 3D Point Alignment Detection Algorithm
  • 本地全文:下载
  • 作者:Alvaro Gomez ; Gregory Randall ; Rafael Grompone von Gioi
  • 期刊名称:Image Processing On Line
  • 电子版ISSN:2105-1232
  • 出版年度:2017
  • 卷号:7
  • 页码:399-417
  • DOI:10.5201/ipol.2017.214
  • 出版社:Image Processing On Line
  • 摘要:In this article we present an algorithm for the detection of perceptually relevant alignments in 3D point clouds. The algorithm is an extension of the algorithm developed by Lezama et al. [J. Lezama, J-M. Morel, G. Randall, R. Grompone von Gioi, A Contrario 2D Point Alignment Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (3), pp. 499-512, 2015] for the case of sets of 2D points. The algorithm is based on the a contrario detection theory that mathematically formalizes the non-accidentalness principle proposed for perception: an observed structure is relevant if it rarely occurs by chance. This framework has been widely used in different detection tasks and leads to algorithms with a single critical parameter to control the number of false detections.
  • 关键词:point alignment detection; 3D point alignments; a contrario method; Gestalt theory
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