DocumentCode :
419590
Title :
Propagating segmented regions during a camera saccade
Author :
Green, Isaac A. ; Nelson, Randal C.
Author_Institution :
Dept. of Comput. Sci., Charleston Coll., SC, USA
Volume :
1
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
640
Abstract :
In this paper, we present a method for propagating segmentation information across a saccade for a foveating camera. In particular, we take a region of interest from a wide-angle, low-fidelity image and propagate its segmentation information to a zoomed, high-fidelity image containing that region. Our method uses normalized greyscale templates to estimate the change in translation and magnification required to transform the segmented region. This process is particularly useful for systems whose segmentation methods rely on prior images, such as motion or difference segmentation, because the segmentation methods cannot be simply be rerun to obtain a segmentation in the high-fidelity images.
Keywords :
cameras; image recognition; image segmentation; camera saccade; greyscale templates; high fidelity image; image segmentation; magnification estimation; motion segmentation; segmentation propagation; translation estimation; Biosensors; Cameras; Computer science; Educational institutions; Humans; Image resolution; Image segmentation; Machine vision; Retina; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334242
Filename :
1334242
Link To Document :
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