Red-eye detection based on red region detection with eye confirmation
First Claim
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1. One or more computer-readable media having stored thereon a plurality of instructions that, when executed by one or more processors of a computer, causes the one or more processors to perform acts including:
- receiving an image;
searching one or more areas of the image for red pixels;
combining red pixels together into one or more groups, with adjacent red pixels being combined into the same group;
filtering the groups based on a set of rules, resulting in zero or more candidate red-eye regions; and
classifying each of the candidate red-eye regions as being either part of an eye or not part of an eye.
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Abstract
Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.
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Citations
54 Claims
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1. One or more computer-readable media having stored thereon a plurality of instructions that, when executed by one or more processors of a computer, causes the one or more processors to perform acts including:
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receiving an image;
searching one or more areas of the image for red pixels;
combining red pixels together into one or more groups, with adjacent red pixels being combined into the same group;
filtering the groups based on a set of rules, resulting in zero or more candidate red-eye regions; and
classifying each of the candidate red-eye regions as being either part of an eye or not part of an eye. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49)
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15. A system comprising:
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a region detection module to detect regions of an image that include pixels of a particular one or more colors; and
an eye confirmation module to receive the detected regions from the region detection module and identify, for each of the detected regions, whether the detected region is part of an eye.
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35. A method comprising:
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receiving an image;
searching a set of areas of the image for candidate pixels of one or more colors;
combining the candidate pixels into a set of one or more pixel groups; and
for each pixel group in the set of one or more pixel groups, classifying the pixel group as being part of an eye or not part of an eye.
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50. A camera comprising:
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an image capturer to capture an image; and
a red-eye detector including, a region detector to detect regions of the image that include red pixels, and an eye confirmer to receive the detected regions from the region detector and identify, for each of the detected regions, whether the detected region is an eye. - View Dependent Claims (51, 52)
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53. A system comprising:
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means for searching a set of areas of an image for candidate pixels of one or more colors;
means for combining the candidate pixels into a set of one or more pixel groups; and
means for classifying, for each pixel group in the set of one or more pixel groups, the pixel group as being part of an eye or not part of an eye. - View Dependent Claims (54)
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Specification