System, method, and computer program for capturing an image with correct skin tone exposure
A system and method are provided for capturing an image with correct skin tone exposure. In use, one or more faces are detected having threshold skin tone within a scene. Next, based on the detected one or more faces, the scene is segmented into one or more face regions and one or more non-face regions. A model of the one or more faces is constructed based on a depth map and a texture map, the depth map including spatial data of the one or more faces, and the texture map includes surface characteristics of the one or more faces. The one or more images of the scene are captured based on the model. Further, in response to the capture, the one or more face regions are processed to generate a final image.
1. A method for high-dynamic range (HDR) imaging, comprising:
identifying one or more faces in a preview image;
identifying a region of interest (ROI) for each identified face of the one or more faces in the preview image, wherein a number of identified ROIs is more than one;
determining a number of images to be captured for an HDR image to be saved in an image stack; and
for each ROI corresponding to an identified face of the one or more faces:
determining a skin tone of the identified face;
determining, based on the determined skin tone and a comparison between the identified face and the ROI corresponding to the identified face, a target brightness of the respective image associated with the ROI; and
determining, based on the target brightness, an exposure value of the respective image associated with the ROI.
2. The method of claim 1 , wherein determining the exposure value of a respective image associated with a ROI comprises exclusively using the ROI in determining the exposure value.
3. The method of claim 2 , further comprising:
determining a separate exposure value from an entirety of the preview image, wherein the exposure value is to be used for capturing an image other than the number of images;
receiving the number of images and the image other than the number of images captured using corresponding exposure values; and
generating the HDR image based on the number of images and the image other than the number of images.
4. The method of claim 1 , further comprising:
receiving a user input for the preview image; and
identifying one or more ROIs of the preview image from the user input.
5. The method of claim 1 , further comprising for each ROI corresponding to an identified face of the one or more faces:
comparing a size of the identified face to a size of the ROI corresponding to the identified face.
6. A device configured to generate a High-Dynamic Range (HDR) image, comprising:
one or more processors implemented in circuitry; and
a memory coupled to the one or more processors and including instructions that, when executed by the one or more processors, cause the device to:
identify one or more faces in a preview image;
identify a region of interest (ROI) for each identified face of the one or more faces in the preview image, wherein a number of identified ROIs is more than one;
determine a number of images to be captured for an HDR image to be saved in an image stack; and
for each ROI corresponding to an identified face of the one or more faces:
determine a skin tone of the identified face;
determine, based on the determined skin tone and a comparison between the identified face and the ROI corresponding to the identified face, a target brightness of the respective image associated with the ROI; and
determine, based on the target brightness, an exposure value of the respective image associated with the ROI.
7. The device of claim 6 , wherein execution of the instructions further causes the device to exclusively use the ROI in determining the exposure value.
8. The device of claim 7 , wherein execution of the instructions further causes the device to:
determine a separate exposure value from an entirety of the preview image, wherein the exposure value is to be used for capturing an image other than the number of images;
receive the number of images and the image other than the number of images captured using corresponding exposure values; and
generate the HDR image based on the number of images and the image other than the number of images.
9. The device of claim 8 , further comprising one or more cameras, wherein execution of the instructions further causes the device to:
capture the preview image using at least one camera of the one or more cameras; and
capture the number of images and the image other than the number of images using at least one camera of the one or more cameras.
10. The device of claim 6 , further comprising:
a display to display the preview image; and
a user interface to receive a user input for the displayed preview image;
wherein execution of the instructions further causes the device to identify one or more ROIs of the preview image from the user input.
11. The device of claim 6 , wherein execution of the instructions, for each ROI corresponding to an identified face of the one or more faces, further causes the device to:
compare a size of the identified face to a size of the ROI corresponding to the identified face.
12. A non-transitory computer-readable medium storing one or more programs containing instructions that, when executed by one or more processors of a device, cause the device to:
identify one or more faces in a preview image;
identify a region of interest (ROI) for each identified face of the one or more faces in the preview image, wherein a number of ROIs is more than one;
determine a number of images to be captured for an HDR image to be saved in an image stack; and
for each ROI corresponding to an identified face of the one or more faces:
determine a skin tone of the identified face;
determine, based on the determined skin tone and a comparison between the identified face and the ROI corresponding to the identified face, a target brightness of the respective image associated with the ROI; and
determine, based on the target brightness, an exposure value of the respective image associated with the ROI.
13. The non-transitory computer-readable medium of claim 12 , wherein execution of the instructions further causes the device to exclusively use the ROI of the preview image in determining the exposure value.
14. The non-transitory computer-readable medium of claim 13 , wherein execution of the instructions further causes the device to:
determine a separate exposure value from an entirety of the preview image, wherein the exposure value is to be used for capturing an image other than the number of images;
receive the number of images and the image other than the number of images captured using corresponding exposure values; and
generate the HDR image based on the number of images and the image other than the number of images.
15. The non-transitory computer-readable medium of claim 12 , wherein execution of the instructions further causes the device to:
receive a user input for the preview image; and
identify one or more ROIs of the preview image from the user input.
16. The non-transitory computer-readable medium of claim 12 , wherein execution of the instructions further causes the device to:
for each ROI corresponding to an identified face of the one or more faces, compare a size of the identified face to a size of the ROI corresponding to the identified face.