Image Recomposition From Face Detection And Facial Features

1 . A computing system comprising:

an electronic memory for storing a digital image; and

a processor for accessing the stored digital image and identifying two or more individual regions in the digital image that each include a human face, and for digitally defining at least one combined region that includes the two or more individual regions, wherein at least one border of the at least one combined region is collinear with a border of one of the individual regions.

2 . The computing system of claim 1 , wherein each of the borders of the at least one combined region is collinear with at least one border of the individual regions.

3 . The computing system of claim 1 , wherein the processor comprises a program for automatically modifying the digital image such that the at least one combined region satisfies a broad rule of thirds.

4 . The computing system of claim 1 , wherein the processor comprises a program for automatically modifying the digital image such that the at least one combined region satisfies a strict rule of thirds.

5 . The computing system of claim 1 , wherein the processor comprises a program for automatically modifying an aspect ratio of the digital image including deleting a portion of the digital image such that the at least one combined region is preserved, if possible, without removing any of its pixels.

6 . The computing system of claim 1 , wherein the processor comprises a program for automatically modifying an aspect ratio of the digital image such that a portion of only one of the two or more individual regions is deleted if it determines that said modifying the aspect ratio of the digital image cannot be completed together with preserving the at least one combined region.

7 . The computing system of claim 1 , wherein the processor comprises a program for automatically detecting and issuing a notification that a portion of the at least one combined region would be deleted if a preselected modification of the digital image was executed by the computing system.

8 . The computing system of claim 7 , wherein the preselected modification comprises a different aspect ratio of the digital image.

9 . The computing system of claim 1 , wherein the processor comprises a program for determining a size of each of the two or more individual regions including excluding at least one of the two or more individual regions from the at least one combined region if the size of said at least one of the two or more individual regions is smaller than a largest one of the two or more individual regions by a preselected magnitude.

10 . The computing system of claim 9 , wherein said size of each of the two or more individual regions is determined by either an area or a width of each of the two or more individual regions.

11 . The computing system of claim 1 , wherein the processor comprises a program for automatically evaluating each of the two or more individual regions including assigning a fitness score to each of the two or more individual regions, and for ignoring at least one of the two or more individual regions whose fitness score is below a preselected threshold, wherein said at least one combined region includes two or more individual regions whose fitness score is above the preselected threshold.

12 . The computing system of claim 11 , wherein the processor further comprises a program for determining the fitness score for each of the two or more individual regions based on size, blink, gaze direction, expression, pose, occlusion, sharpness, exposure or contrast.

13 . The computing system of claim 1 , wherein the processor comprises a program for storing in association with the digital image data for identifying said at least one combined region.

14 . The computing system of claim 1 , wherein the processor comprises a program for automatically zooming in or out of said at least one combined region by a preselected amount to form a modified digital image.

15 . The computing system of claim 1 , wherein the processor comprises a program for determining a width of said at least one individual region including determining a size of a padding region based on the width, the padding region to be used for its corresponding individual region.

16 . A computing system comprising:

an electronic memory for storing a digital image;

a processor for identifying at least one individual region in the digital image that includes a human face, for automatically modifying the digital image such that the at least one individual region satisfies a broad rule of thirds rule, and for automatically modifying an aspect ratio of the digital image such that, if possible, the at least one individual region is preserved without removing any of its pixels.

17 . The computing system of claim 16 , wherein the processor comprises a program for automatically modifying an aspect ratio of the digital image such that equal amounts of the at least one individual region are cropped from opposing sides of the at least one individual region if the computing system determines that said automatically modifying the aspect ratio of the digital image cannot be completed together with preserving the at least one individual region without removing any of its pixels.

18 . The computing system of claim 17 , wherein the processor further comprises a program for automatically detecting that a portion of the at least one individual region would be cropped if a preselected modification of the digital image was executed, including issuing a notification therefor.

19 . The computing system of claim 16 , wherein the processor comprises a program for automatically modifying an aspect ratio of the digital image such that about 40% of a total amount cropped from the digital image is cropped from a top border of the digital image if the computing system determines that said automatically modifying the aspect ratio of the digital image cannot be completed together with preserving the at least one individual region without removing any of its pixels.