DocumentCode :
3620471
Title :
Least Squares Fitting Articulated Objects
Author :
C. Gronwall;P. Anderson;F. Gustafsson
Author_Institution :
Dept. Laser System, FOI Linkoping, Sweden
fYear :
2005
fDate :
6/27/1905 12:00:00 AM
Firstpage :
116
Lastpage :
116
Abstract :
In safety and security applications, one issue is target recognition. In some recognition processes, for vehicle recognition, we must take into account that the target maybe articulated. Vehicles can easily change shape by opening of a door, adding of load etc.This change of shape can be moddled as an articulation. if the articluation of model the target also can be moddled, the mathcing with library modles can be improved. In this paper we propose a method for modular least squares fitting of two 3D point scatters with points correspondence. A method for least squares fitting of a 3D point scatter and a CAD (face) models is also proposed. An example pf modular leats squares fitting two #D point scatters,based on simulated data, is known.
Keywords :
"Least squares methods","Computer Society","Computer vision","Pattern recognition"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.487
Filename :
1565428
Link To Document :
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