Image analysis – Pattern recognition – Template matching
Reexamination Certificate
2005-03-25
2009-12-22
Bella, Matthew C (Department: 2624)
Image analysis
Pattern recognition
Template matching
C382S163000, C396S155000, C396S157000, C396S158000
Reexamination Certificate
active
07636477
ABSTRACT:
Red-eye area detection accuracy is improved according to a pattern of appearance of red-eye areas generated frequently in an actual photography environment. A red-eye candidate area finding unit finds red-eye candidate areas in a digital photograph image, by using reference data. A display unit displays the image with the red-eye candidate areas having been marked and preliminary corrected. A user can specify an unfound red-eye area and an erroneously specified area by using a specification unit22.An update unit24updates the reference data by learning a characteristic of the unfound red-eye area and the erroneously specified area so that a probability becomes higher regarding detection of an area having a characteristic similar to the unfound red-eye area as a red-eye candidate area while becomes lower regarding detection of an area having a characteristic similar to the erroneously specified area as a red-eye area.
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Sergey Ioffe, “Red Eye Detection With Machine Learning”, Proceedings of the Ninth IEEE International Conference on Computer Vision (ICVC 2003), vol. 2, pp. 871-874, Sep. 2003.
Bella Matthew C
FUJIFILM Corporation
Rosario Dennis
Sughrue & Mion, PLLC
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