Determining the point of minimum error for 6DOF pose uncertainty representation

In many augmented reality applications, in particular in the medical and industrial domains, knowledge about tracking errors is important. Most current approaches characterize tracking errors by 6×6 covariance matrices that describe the uncertainty of a 6DOF pose, where the center of rotational erro...

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Bibliographische Detailangaben

Hauptverfasser:	Pustka, D, Willneff, J, Wenisch, O, Lukewille, P, Achatz, K, Keitler, P, Klinker, G
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	and virtual realities augmented Cameras Covariance matrix Erbium H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems-Artificial I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Tracking Jacobian matrices Monte Carlo methods Target tracking Uncertainty
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