Digital image processing using face detection information
First Claim
Patent Images
1. A method of digital image processing using face detection, comprising:
- identifying a first group of pixels that include a face within a digital image including determining a degree of focus of said first group of pixels;
identifying a second group of pixels that include another feature within the digital image and determining a further degree of focus of said second group of pixels;
estimating an importance of each of the first and second groups of pixels, including analyzing size, location within the digital image, or relative exposure of the face and other feature, or combinations thereof;
calculating a weighted average on individual objects of the first and second groups of pixels based at least in part on the estimating; and
perfecting an auto-focus process based at least in part on the weighted average.
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Abstract
A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values.
840 Citations
36 Claims
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1. A method of digital image processing using face detection, comprising:
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identifying a first group of pixels that include a face within a digital image including determining a degree of focus of said first group of pixels; identifying a second group of pixels that include another feature within the digital image and determining a further degree of focus of said second group of pixels; estimating an importance of each of the first and second groups of pixels, including analyzing size, location within the digital image, or relative exposure of the face and other feature, or combinations thereof; calculating a weighted average on individual objects of the first and second groups of pixels based at least in part on the estimating; and perfecting an auto-focus process based at least in part on the weighted average. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. One or more non-transitory computer readable storage devices having processor readable code embodied thereon, said processor readable code for programming one or more processors to perform a method of digital image processing using face detection, wherein the method comprises:
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identifying a first group of pixels that include a face within a digital image including determining a degree of focus of said first group of pixels; identifying a second group of pixels that include another feature within the digital image and determining a further degree of focus of said second group of pixels; estimating an importance of each of the first and second groups of pixels, including analyzing size, location within the digital image, or relative exposure of the face and other feature, or combinations thereof; calculating a weighted average on individual objects of the first and second groups of pixels based at least in part on the estimating; and perfecting an auto-focus process based at least in part on the weighted average. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A portable digital image acquisition device including a lens and an image sensor for acquiring a digital image, and a processor for performing image processing on the digital image, and one or more processor readable storage devices having processor readable code embodied thereon, said processor readable code for programming the processor to perform a method of digital image processing using face detection, comprising:
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identifying a first group of pixels that include a face within a digital image including determining a degree of focus of said first group of pixels; identifying a second group of pixels that include another feature within the digital image and determining a further degree of focus of said second group of pixels; estimating an importance of each of the first and second groups of pixels, including analyzing size, location within the digital image, or relative exposure of the face and other feature, or combinations thereof; calculating a weighted average on individual objects of the first and second groups of pixels based at least in part on the estimating; and perfecting an auto-focus process based at least in part on the weighted average. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
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Specification