초록 ▼

A technique for processing a digital image uses face detection to achieve one or more desired image processing parameters. A group of pixels is identified that corresponds to a face image within the digital image. A skin tone is detected for the face image by determining one or more default color or

A technique for processing a digital image uses face detection to achieve one or more desired image processing parameters. A group of pixels is identified that corresponds to a face image within the digital image. A skin tone is detected for the face image by determining one or more default color or tonal values, or combinations thereof, for the group of pixels. Values of one or more parameters are adjusted for the group of pixels that correspond to the face image based on the detected skin tone.

대표청구항 ▼

1. A method of identify a face image within a digital image by detecting and tracking a face image within a collection of low resolution images using skin tone information, comprising: identifying a group of pixels that correspond to a face image within the digital image;generating in-camera, captur

1. A method of identify a face image within a digital image by detecting and tracking a face image within a collection of low resolution images using skin tone information, comprising: identifying a group of pixels that correspond to a face image within the digital image;generating in-camera, capturing or otherwise obtaining in-camera a collection of low resolution images including said face image;tracking said face image within said collection of low resolution images;detecting a skin tone for the face image by determining one or more color or tonal values, or combinations thereof, for the group of pixels and comparing with one or more default color or tonal values, or combinations thereof; andadjusting values of one or more parameters for the group of pixels, including adjusting focus based on location of the face determined based on the detected skin tone. 2. The method of claim 1, wherein the adjusting values of one or more parameters for the group of pixels includes adjusting values of luminance to open up shadows within the face image by selectively applying fill-flash to regions within the face image in an amount based on the detected skin tone. 3. The method of claim 1, further comprising repeating the identifying, detecting and adjusting for a second face image having a different skin tone than the first face image, and the adjusting comprises applying fill-flash to the two face images in different relative amounts depending on the different skin tones. 4. The method of claim 3, wherein the adjusting comprises adjusting a luminance of each face image separately depending on the skin tone of each face image. 5. The method of claim 1, further comprising repeating the identifying, detecting and adjusting for a second face image having a different skin tone than the first face image, and the adjusting comprises adjusting luminance values of pixels of the two face images in different relative amounts depending on the different skin tones. 6. The method of claim 1, wherein the color or tonal values for the group of pixels comprise one or more average color or tonal values. 7. The method of claim 6, wherein the color or tonal values comprise multiple colors or tones, or combinations thereof, determined for each of multiple regions of the face image. 8. An image acquisition apparatus including an imaging optical system and digital image detector and storage medium, and having stored therein program instructions for programming one or more processors to perform a method of processing a digital image using face detection to achieve one or more desired image processing parameters, the method comprising: identifying a group of pixels that correspond to a face image within the digital image;generating in-camera, capturing or otherwise obtaining in-camera a collection of low resolution images including said face image;tracking said face image within said collection of low resolution images;detecting a skin tone for the face image by determining one or more color or tonal values, or combinations thereof, for the group of pixels and comparing with one or more default color or tonal values, or combinations thereof; andadjusting values of one or more parameters for the group of pixels, including adjusting focus based on location of the face determined based on the detected skin tone. 9. The apparatus of claim 8, wherein the adjusting values of one or more parameters for the group of pixels includes adjusting values of luminance to open up shadows within the face image by selectively applying fill-flash to regions within the face image in an amount based on the detected skin tone. 10. The apparatus of claim 8, wherein the method further comprises repeating the identifying, detecting and adjusting for a second face image having a different skin tone than the first face image, and the adjusting comprises applying fill-flash to the two face images in different relative amounts depending on the different skin tones. 11. The apparatus of claim 10, wherein the adjusting comprises adjusting a luminance of each face image separately depending on the skin tone of each face image. 12. The apparatus of claim 8, wherein the method further comprises repeating the identifying, detecting and adjusting for a second face image having a different skin tone than the first face image, and the adjusting comprises adjusting luminance values of pixels of the two face images in different relative amounts depending on the different skin tones. 13. The apparatus of claim 8, wherein the color or tonal values for the group of pixels comprise one or more average color or tonal values. 14. The apparatus of claim 13, wherein the color or tonal values comprise multiple colors or tones, or combinations thereof, determined for each of multiple regions of the face image. 15. One or more non-transitory digital storage devices having embodied therein program instructions for programming one or more processors to perform a method of processing a digital image using face detection to achieve one or more desired image processing parameters, the method comprising: identifying a group of pixels that correspond to a face image within the digital image;generating in-camera, capturing or otherwise obtaining in-camera a collection of low resolution images including said face image;tracking said face image within said collection of low resolution images;detecting a skin tone for the face image by determining one or more color or tonal values, or combinations thereof, for the group of pixels and comparing with one or more default color or tonal values, or combinations thereof; andadjusting values of one or more parameters for the group of pixels, including adjusting focus based on location of the face determined based on the detected skin tone. 16. The one or more storage devices of claim 15, wherein the adjusting values of one or more parameters for the group of pixels includes adjusting values of luminance to open up shadows within the face image by selectively applying fill-flash to regions within the face image in an amount based on the detected skin tone. 17. The one or more storage devices of claim 15, wherein the method further comprises repeating the identifying, detecting and adjusting for a second face image having a different skin tone than the first face image, and the adjusting comprises applying fill-flash to the two face images in different relative amounts depending on the different skin tones. 18. The one or more storage devices of claim 17, wherein the adjusting comprises adjusting a luminance of each face image separately depending on the skin tone of each face image. 19. The one or more storage devices of claim 15, wherein the method further comprises repeating the identifying, detecting and adjusting for a second face image having a different skin tone than the first face image, and the adjusting comprises adjusting luminance values of pixels of the two face images in different relative amounts depending on the different skin tones. 20. The one or more storage devices of claim 15, wherein the color or tonal values for the group of pixels comprise one or more average color or tonal values. 21. The one or more storage devices of claim 20, wherein the color or tonal values comprise multiple colors or tones, or combinations thereof, determined for each of multiple regions of the face image.