DocumentCode
2610410
Title
Initialization and System Modeling in 3-D Pose Tracking
Author
Kragic, Danica ; Kyrki, Ville
Author_Institution
Computational Vision & Active Perception, KTH, Stockholm
Volume
4
fYear
0
fDate
0-0 0
Firstpage
643
Lastpage
646
Abstract
Initialization and choice of adequate motion models are two important but seldom discussed problems in 3D model-based pose (position and orientation) tracking. In this paper, we propose an automatic initialization approach suitable for textured objects. In addition, we define, study and experimentally evaluate three motion models commonly used in visual servoing and augmented reality
Keywords
Kalman filters; augmented reality; image motion analysis; image texture; stereo image processing; tracking; 3D pose tracking; augmented reality; automatic initialization approach; motion model; motion models; orientation tracking; position tracking; system modeling; textured objects; visual servoing; Augmented reality; Cameras; Computer vision; Histograms; Information processing; Laboratories; Modeling; Predictive models; Tracking; Visual servoing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.712
Filename
1699923
Link To Document