Robust Ellipse Fitting Using Hierarchical Gaussian Mixture Models

Fitting ellipses from unrecognized data is a fundamental problem in computer vision and pattern recognition. Classic least-squares based methods are sensitive to outliers. To address this problem, in this paper, we present a novel and effective method called hierarchical Gaussian mixture models (HGM...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 23., Seite 3828-3843
1. Verfasser:	Zhao, Mingyang (VerfasserIn)
Weitere Verfasser:	Jia, Xiaohong, Fan, Lubin, Liang, Yuan, Yan, Dong-Ming
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2021
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article