Multiple 3D Object tracking for augmented reality

We present a method that is able to track several 3D objects simultaneously, robustly, and accurately in real-time. While many applications need to consider more than one object in practice, the existing methods for single object tracking do not scale well with the number of objects, and a proper wa...

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Veröffentlicht in:	2008 7th IEEE International Symposium on Mixed and Augmented Reality S. 117 - 120
Hauptverfasser:	Park, Youngmin, Lepetit, Vincent, Woontack Woo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Washington, DC, USA IEEE Computer Society 15.09.2008 IEEE
Schriftenreihe:	ACM Other Conferences
Schlagworte:	Augmented Reality Computer Vision Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems > Object recognition Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems > Tracking Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks > Scene understanding Computing methodologies > Artificial intelligence > Computer vision > Image and video acquisition > 3D imaging Computing methodologies > Computer graphics > Animation Computing methodologies > Machine learning Feature extraction Object detection Robustness Solid modeling Target tracking Three dimensional displays Tracking
ISBN:	9781424428403, 1424428408
Online-Zugang:	Volltext
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