DocumentCode :
3058106
Title :
A Systems View of Scale Space
Author :
Eaton, Ross S. ; Stevens, Mark R. ; McBride, Jonah C. ; Foil, Greydon T. ; Snorrason, Magnùs S.
Author_Institution :
Charles River Analytics, Cambridge, MA
fYear :
2006
fDate :
04-07 Jan. 2006
Firstpage :
3
Lastpage :
3
Abstract :
Over the last 30 years, scale space representations have emerged as a fundamental tool for allowing systems to become increasingly robust against changes in camera viewpoint. Unfortunately, the implementation details that are required to properly construct a scale space representation are not published in the literature. Incorrectly implementing these details will lead to extremely poor system performance. In this paper, we address the practical considerations associated with scale space representations. Our focus is to make explicit how a scale space is constructed, thereby increasing the accessibility of this powerful representation to developers of computer vision systems.
Keywords :
Cameras; Computer vision; Feature extraction; Focusing; Image analysis; Image matching; Kernel; Object recognition; Robustness; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Systems, 2006 ICVS '06. IEEE International Conference on
Print_ISBN :
0-7695-2506-7
Type :
conf
DOI :
10.1109/ICVS.2006.9
Filename :
1578691
Link To Document :
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