DocumentCode :
3208678
Title :
An invariant, closed-form solution for matching sets of 3D lines
Author :
Kamgar-Parsi, Bahzad ; Kamgar-Parsi, Behrooz
Author_Institution :
Office of Naval Res., Arlington, VA, USA
Volume :
2
fYear :
2004
fDate :
27 June-2 July 2004
Abstract :
Existing algorithms for finding the best match between two sets of 3D lines are not completely satisfactory in the sense that they either yield approximate solutions, or are iterative which means they may not converge to the globally optimal solution. An even more serious shortcoming of the existing algorithms is that they are all non-invariant with respect to the translation of the coordinate system. Thus, any best match found becomes rather meaningless. In this paper, we discuss the source of this non-invariance and present a new algorithm that is invariant to coordinate transforms. Moreover, the algorithm is closed-form, which implies that it always yields the best global match.
Keywords :
computational geometry; image matching; multidimensional signal processing; regression analysis; 3D lines; closed-form solution; geometric feature; matching sets; regression analysis; Application software; Closed-form solution; Computer vision; Face detection; Face recognition; Image converters; Image segmentation; Iterative algorithms; Layout; Motion estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2158-4
Type :
conf
DOI :
10.1109/CVPR.2004.1315195
Filename :
1315195
Link To Document :
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