Image segmentation and modification of a video stream

1. A computer implemented method for manipulating portions of a video stream, comprising:

determining, using one or more processors of a client device, an approximate location of a mouth within a video stream including a face and comprising a first set of images and a second set of images;

identifying, by the client device, an area of interest within the one or more images of the first set of images, the area of interest being a portion of the one or more images encompassing the approximate location of the mouth;

generating, by the client device, a modified area of interest by converting the pixels within the area of interest to values along a grayscale to generate a grayscale area of interest, the pixels converted to grayscale by, for each pixel, generating a grayscale value by multiplying a fixed intensity value with a quotient of a triplet of color saturation values of the pixel;

identifying a set of teeth visible within the mouth in the grayscale area of interest;

identifying, by the client device, a first set of pixels and a second set of pixels within the grayscale area of interest and adding at least a portion of the first set of pixels as a set of landmark points within a binary mask of the face, the first set of pixels corresponding to the set of teeth within the mouth; and

when the teeth are visible within the second set of images, modifying, by the client device, a color value for the first set of pixels within the second set of images of the video stream.

2. The method of claim 1 further comprising:

cropping one or more portions of the one or more images of the first set of images outside of the area of interest.

3. The method of claim 1 , wherein the pixels within the grayscale area of interest comprise a histogram of values within the grayscale and generating the modified area of interest further comprises:

equalizing the histogram values within the grayscale area of interest to generate an equalized area of interest.

4. The method of claim 3 , wherein generating the modified area of interest further comprises:

thresholding the equalized area of interest to generate a binarized area of interest, the first set of pixels within the binarized area of interest having a first value and the second set of pixels within the binarized area of interest having a second value distinct from the first value.

5. The method of claim 4 , wherein the second set of pixels comprises a plurality of segments interrupted by one or more pixels having the first value and generating the binarized area of interest further comprising:

identifying one or more pixels having the first value positioned between two or more of the plurality of segments having the second value; and

replacing the first value of the identified one or more pixels with the second value.

6. The method of claim 4 , wherein identifying a first set of pixels and a second set of pixels within the modified area of interest further comprises:

determining the first set of pixels have a value greater than a predetermined threshold; and

marking the first set of pixels within the second set of images of the video stream to generate a set of marked pixels.

7. The method of claim 6 , wherein marking the first set of pixels within the second set of images further comprises:

identifying locations for the first set of pixels with respect to one or more landmarks of a face depicted within the first set of images; and

identifying the color value of the first set of pixels within the first set of images.

8. The method of claim 6 , wherein modifying the color value for the first set of pixels within the second set of images further comprises:

tracking the set of marked pixels across the second set of images of the video stream; and

modifying the color value for the first set of pixels when the color value is presented proximate to the marked pixels.

9. A system for manipulating portions of a video stream, comprising:

one or more processor; and

a non-transitory machine-readable storage medium storing processor executable instructions that, when executed by a processor of a machine, cause the machine to perform operations comprising:

determining an approximate location of a mouth within a video stream including a face and comprising a first set of images and a second set of images;

identifying an area of interest within the one or more images of the first set of images, the area of interest being a portion of the one or more images encompassing the approximate location of the mouth;

generating, by the client device, a modified area of interest by converting the pixels within the area of interest to values along a grayscale to generate a grayscale area of interest, the pixels converted to grayscale by, for each pixel, generating a grayscale value by multiplying a fixed intensity value with a quotient of a triplet of color saturation values of the pixel;

identifying a set of teeth visible within the mouth in the grayscale area of interest;

identifying a first set of pixels and a second set of pixels within the grayscale area of interest and adding at least a portion of the first set of pixels as a set of landmark points within a binary mask of the face, the first set of pixels corresponding to the set of teeth within the mouth; and

when the teeth are visible within the second set of images, modifying a color value for the first set of pixels within the second set of images of the video stream.

10. The system of claim 9 , wherein the pixels within the grayscale area of interest comprise a histogram of values within the grayscale and generating the modified area of interest causes the machine to perform operations comprising:

equalizing the histogram values within the grayscale area of interest to generate an equalized area of interest.

11. The system of claim 10 , wherein generating the modified area of interest causes the machine to perform operations comprising:

thresholding the equalized area of interest to generate a binarized area of interest, the first set of pixels within the binarized area of interest having a first value and the second set of pixels within the binarized area of interest having a second value distinct from the first value.

12. The system of claim 11 , wherein the second set of pixels comprises a plurality of segments interrupted by one or more pixels having the first value and generating the binarized area of interest causes the machine to perform operations comprising:

identifying one or more pixels having the first value positioned between two or more of the plurality of segments having the second value; and

replacing the first value of the identified one or more pixels with the second value.

13. The system of claim 11 , wherein identifying a first set of pixels and a second set of pixels within the modified area of interest causes the machine to perform operations comprising:

determining the first set of pixels have a value greater than a predetermined threshold; and

marking the first set of pixels within the second set of images of the video stream to generate a set of marked pixels.

14. The system of claim 13 , wherein marking the first set of pixels within the second set of images causes the machine to perform operations comprising:

identifying locations for the first set of pixels with respect to one or more landmarks of a face depicted within the first set of images; and

identifying the color value of the first set of pixels within the first set of images.

15. The system of claim 13 , wherein modifying the color value for the first set of pixels within the second set of images causes the machine to perform operations comprising:

tracking the set of marked pixels across the second set of images of the video stream; and

modifying the color value for the first set of pixels when the color value is presented proximate to the marked pixels.

16. A non-transitory machine-readable storage medium storing processor executable instructions that, when executed by a processor of a machine, cause the machine to perform operations comprising:

determining an approximate location of a mouth within a video stream including a face and comprising a first set of images and a second set of images;

identifying an area of interest within the one or more images of the first set of images, the area of interest being a portion of the one or more images encompassing the approximate location of the mouth;

generating, by the client device, a modified area of interest by converting the pixels within the area of interest to values along a grayscale to generate a grayscale area of interest, the pixels converted to grayscale by, for each pixel, generating a grayscale value by multiplying a fixed intensity value with a quotient of a triplet of color saturation values of the pixel;

identifying a set of teeth visible within the mouth in the grayscale area of interest;

identifying a first set of pixels and a second set of pixels within the grayscale area of interest and adding at least a portion of the first set of pixels as a set of landmark points within a binary mask of the face, the first set of pixels corresponding to the set of teeth within the mouth; and

when the teeth are visible within the second set of images, modifying a color value for the first set of pixels within the second set of images of the video stream.

17. The non-transitory machine-readable storage medium of claim 16 , wherein identifying the first set of pixels and the second set of pixels within the modified area of interest causes the machine to perform operations comprising:

determining the first set of pixels have a value within the modified area of interest greater than a predetermined threshold; and

marking the first set of pixels within the second set of images of the video stream to generate a set of marked pixels.

18. The non-transitory machine-readable storage medium of claim 17 , wherein modifying the color value for the first set of pixels within the second set of images causes the machine to perform operations comprising:

identifying locations for the first set of pixels with respect to one or more landmarks of a face depicted within the first set of images;

identifying the color value of the first set of pixels within the first set of images;

tracking the set of marked pixels across the second set of images of the video stream; and

modifying the color value for the first set of pixels when the color value is presented proximate to the marked pixels.