Digital image processing using face detection information
View Patent ↗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.
1. Within a digital acquisition device with an adjustable optical system having an auto focusing mechanism, a method of enhancing auto focus based on detection and tracking of a region of interest, the method comprising:
identifying a first group of pixels that includes a region of interest within a digital image including determining a degree of focus of said first group of pixels; determining an adjusted value of degree of focus for the first group of pixels;
tracking the region of interest within a stream of digital images;
detecting that the focus position of the region of interest has changed based on movement between the digital image and a subsequent image within the stream of digital images; and
automatically adjusting focus position based upon the adjusted value of degree of focus and upon the detecting that the focus position of the region of interest has changed based on said movement.
2. The method of claim 1 , further comprising computing a weighted average of one or more candidate regions of interest within the digital image.
3. The method of claim 2 , wherein the computing a weighted average comprises assigning an estimated importance of the one or more candidate regions of interest based on size, location or relative exposure within the digital image, or combinations thereof.
4. The method of claim 3 , wherein the computing a weighted average further comprises assigning a relative value of detection assurance to each of the one or more candidate regions of interest.
5. The method of claim 2 , wherein the computing a weighted average comprises assigning an estimated importance of the one or more candidate regions of interest based on size, location or relative exposure within the digital image, or combinations thereof.
6. The method of claim 1 , further comprising estimating auto focus distance based on determining a size of said region of interest within the digital image.
7. 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 within a digital image acquisition device with an adjustable optical system having an auto focusing mechanism to perform a method of enhancing auto focus based on detection and tracking of a region of interest, wherein the method comprises:
identifying a first group of pixels that includes a region of interest within a digital image including determining a degree of focus of said first group of pixels;
determining an adjusted value of degree of focus for the first group of pixels;
tracking the region of interest within a stream of digital images;
detecting that the focus position of the region of interest has changed based on movement between the digital image and a subsequent image within the stream of digital images; and
automatically adjusting focus position based upon the adjusted value of degree of focus and upon the detecting that the focus position of the region of interest has changed based on said movement.
8. The one or more non-transitory computer readable storage devices of claim 7 , wherein the method further comprises computing a weighted average of one or more candidate regions of interest within the digital image.
9. The one or more non-transitory computer readable storage devices of claim 8 , wherein the computing a weighted average comprises assigning an estimated importance of the one or more candidate regions of interest based on size, location or relative exposure within the digital image, or combinations thereof.
10. The one or more non-transitory computer readable storage devices of claim 9 , wherein the computing a weighted average further comprises assigning a relative value of detection assurance to each of the one or more candidate regions of interest.
11. The one or more non-transitory computer readable storage devices of claim 8 , wherein the computing a weighted average comprises assigning an estimated importance of the one or more candidate regions of interest based on size, location or relative exposure within the digital image, or combinations thereof.
12. The one or more non-transitory computer readable storage devices of claim 7 , further comprising estimating auto focus distance based on determining a size of said region of interest within the digital image.
13. A portable digital image acquisition device, comprising:
an adjustable optical system having an auto focusing mechanism;
an image sensor for acquiring a digital image,
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 enhancing an auto focus feature of the device based on detection and tracking of a region of interest, wherein the method comprises:
identifying a first group of pixels that includes a region of interest within a digital image including determining a degree of focus of said first group of pixels;
determining an adjusted value of degree of focus for the first group of pixels;
tracking the region of interest within a stream of digital images;
detecting that the focus position of the region of interest has changed based on movement between the digital image and a subsequent image within the stream of digital images; and
automatically adjusting focus position based upon the adjusted value of degree of focus and upon the detecting that the focus position of the region of interest has changed based on said movement.
14. The device of claim 13 , wherein the method further comprises computing a weighted average of one or more candidate regions of interest within the digital image.
15. The device of claim 14 , wherein the computing a weighted average comprises assigning an estimated importance of the one or more candidate regions of interest based on size, location or relative exposure within the digital image, or combinations thereof.
16. The device of claim 15 , wherein the computing a weighted average further comprises assigning a relative value of detection assurance to each of the one or more candidate regions of interest.
17. The device of claim 14 , wherein the computing a weighted average comprises assigning an estimated importance of the one or more candidate regions of interest based on size, location or relative exposure within the digital image, or combinations thereof.
18. The device of claim 13 , further comprising estimating auto focus distance based on determining a size of said region of interest within the digital image.