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