DocumentCode :
2610561
Title :
Non-Rigid Alignment and Real-Time Tracking Using the Geometric Algebra Framework
Author :
Rivera-Rovelo, Jorge ; Bayro-Corrochano, Eduardo
Author_Institution :
CINVESTAV Unidad, Guadalajara
Volume :
4
fYear :
0
fDate :
0-0 0
Firstpage :
675
Lastpage :
678
Abstract :
This paper presents two applications of geometric algebras: the main is a variant of the thin-plate - robust point matching algorithm, named by us "robust sphere matching", to register 3D objects modeled as sets of spheres using the representation of such spheres in the conformal geometric algebra. By this way, we take advantage and combine the geometric interpretation of entities of such algebra with the statistical methods used in the algorithm. In the experimental part, examples using synthetic and real data are presented to show how the algorithm works reliably, aligning volumetric models based on spheres. The second application is the real time tracking of devices
Keywords :
algebra; brain; conformal mapping; image matching; image registration; image representation; medical image processing; statistical analysis; stereo image processing; tracking; 3D object registration; conformal geometric algebra; nonrigid alignment; point matching algorithm; real-time tracking; robust sphere matching; sphere representation; statistical methods; volumetric model alignment; Algebra; Blades; Brain modeling; Mathematics; Physics; Power engineering and energy; Power system modeling; Robustness; Solid modeling; Statistical analysis;
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.2006.863
Filename :
1699931
Link To Document :
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