Multi-mode digital image processing method for detecting eyes
First Claim
1. A digital image processing method for detecting human eyes in a digital image, comprising the steps of:
- detecting iris pixels;
clustering the iris pixels;
selecting at least one of the following methods to identify eye positions in an image;
i) applying geometric reasoning to detect eye positions using the iris pixel clusters;
ii) applying a summation of squared difference method to detect eye positions based upon the iris pixel clusters; and
, iii) applying a summation of squared difference method to detect eye positions from the pixels in the image;
wherein the method applied is selected on the basis of the number of iris pixel clusters.
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Abstract
The present invention comprises a digital image processing method for detecting human eyes in a digital image. This method comprises the steps of: detecting iris pixels in the image; clustering the iris pixels, and selecting at least one of the following methods to identify eye positions: applying geometric reasoning to detect eye positions using the iris pixel clusters; applying a summation of squared difference method using the iris pixel clusters to detect eye positions; and applying a summation of squared difference method to detect eye positions from the pixels in the image. The method applied is selected on the basis of the number of iris pixel clusters. In another embodiment, the present invention also comprises a computer program product.
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Citations
35 Claims
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1. A digital image processing method for detecting human eyes in a digital image, comprising the steps of:
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detecting iris pixels;
clustering the iris pixels;
selecting at least one of the following methods to identify eye positions in an image;
i) applying geometric reasoning to detect eye positions using the iris pixel clusters;
ii) applying a summation of squared difference method to detect eye positions based upon the iris pixel clusters; and
,iii) applying a summation of squared difference method to detect eye positions from the pixels in the image;
wherein the method applied is selected on the basis of the number of iris pixel clusters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35)
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19. A computer program product for detecting human eyes in a digital image, the computer program product comprising a computer readable storage medium having a computer program stored thereon for performing the step of:
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detecting iris pixels;
clustering the iris pixels;
selecting at least one of the following methods to identify eye positions in the image;
i) applying geometric reasoning to detect eye positions using the iris pixel clusters;
ii) applying a summation of squared difference method to detect eye positions based upon the iris pixel clusters; and
iii) applying a summation of squared difference method using non-iris pixels to detect eye positions;
wherein the method applied is selected on the basis of the number of valid iris pixel clusters.
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Specification