CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining

We present a novel approach to the detection and 3D pose estimation of objects in color images. Its main contribution is that it does not require any training phases nor data for new objects, while state-of-the-art methods typically require hours of training time and hundreds of training registered...

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Veröffentlicht in:	arXiv.org 2019-08
Hauptverfasser:	Pitteri, Giorgia, Ilic, Slobodan, Lepetit, Vincent
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Color imagery Corners Image detection Object recognition Retraining Shape recognition Training
Online-Zugang:	Volltext
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