Title :
Real-time 3D object recognition for automatic tracker initialization
Author :
Blaskó, Gábor ; Fua, Pascal
Author_Institution :
Comput. Graphics Lab, Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Abstract :
We propose a vision based real-time object recognition system, that provides object identification and 3D position data for the automatic initialization of a 3D tracking system. A-priori information is generated using the models of objects which may be present in the image. During recognition this data is accessed, using the position of corner features in the video image for indexing. A voting scheme is used to recognize objects and their positions in a single run. Upon recognition, a 3D object tracker can be automatically provided with initialization data
Keywords :
augmented reality; object recognition; real-time systems; tracking; 3D position data; a-priori information; augmented reality systems; automatic tracker initialization; corner features; indexing; object identification; real-time 3D object recognition; video image; vision based real-time object recognition system; voting scheme; Augmented reality; Computer graphics; Histograms; Image databases; Image processing; Image recognition; Indexing; Object recognition; Spatial databases; Voting;
Conference_Titel :
Augmented Reality, 2001. Proceedings. IEEE and ACM International Symposium on
Conference_Location :
New York, NY
Print_ISBN :
0-7695-1375-1
DOI :
10.1109/ISAR.2001.970529
