Satya Mallick

A system and method for digital hair coloring is described. A starting image of a subject including a hair region is obtained. At least one foreground selection of the starting image is obtained, the foreground selection including a portion of the hair region. At least one background selection of the starting image excluding the hair region is obtained. A matte defining a calculated foreground area of the starting image is calculated based on the foreground selection and the background… Show more

A system and method for digital hair coloring is described. A starting image of a subject including a hair region is obtained. At least one foreground selection of the starting image is obtained, the foreground selection including a portion of the hair region. At least one background selection of the starting image excluding the hair region is obtained. A matte defining a calculated foreground area of the starting image is calculated based on the foreground selection and the background selection. A target color distribution based on a target hair color is obtained. A color image is generated by applying a color transformation based on the target color distribution to at least the calculated foreground area of the starting image. An output image is generated from the colored image and the starting image. Show less

A system and method for providing a personalized face chart. A digital image of the subject's face is obtained. A facial region of the digital image is identified. A line drawing is generated based on at least the facial region of the digital image.

The present invention presents a framework for separating specular and diffuse reflection components in images and videos. Each pixel of the an M-channel input image illuminated by N light sources is linearly transformed into a new color space having (M-N) channels. For an RGB image with one light source, the new color space has two color channels (U,V) that are free of specularities and a third channel (S) that contains both specular and diffuse components. When used with multiple light… Show more

The present invention presents a framework for separating specular and diffuse reflection components in images and videos. Each pixel of the an M-channel input image illuminated by N light sources is linearly transformed into a new color space having (M-N) channels. For an RGB image with one light source, the new color space has two color channels (U,V) that are free of specularities and a third channel (S) that contains both specular and diffuse components. When used with multiple light sources, the transformation may be used to produce a specular invariant image. A diffuse RGB image can be obtained by applying a non-linear partial differential equation to an RGB image to iteratively erode the specular component at each pixel. An optional third dimension of time may be added for processing video images. After the specular and diffuse components are separated, dichromatic editing may be used to independently process the diffuse and the specular components to add or suppress visual effects. The (U,V) channels of images can be used as input to 3-D shape estimation algorithms including shape-from-shading, photometric stereo, binocular and multinocular stereopsis, and structure-from-motion. Show less

The present invention presents a framework for separating specular and diffuse reflection components in images and videos. Each pixel of the an M-channel input image illuminated by N light sources is linearly transformed into a new color space having (M-N) channels. For an RGB image with one light source, the new color space has two color channels (U,V) that are free of specularities and a third channel (S) that contains both specular and diffuse components. When used with multiple light… Show more

The present invention presents a framework for separating specular and diffuse reflection components in images and videos. Each pixel of the an M-channel input image illuminated by N light sources is linearly transformed into a new color space having (M-N) channels. For an RGB image with one light source, the new color space has two color channels (U,V) that are free of specularities and a third channel (S) that contains both specular and diffuse components. When used with multiple light sources, the transformation may be used to produce a specular invariant image. A diffuse RGB image can be obtained by applying a non-linear partial differential equation to an RGB image to iteratively erode the specular component at each pixel. An optional third dimension of time may be added for processing video images. After the specular and diffuse components are separated, dichromatic editing may be used to independently process the diffuse and the specular components to add or suppress visual effects. The (U,V) channels of images can be used as input to 3-D shape estimation algorithms including shape-from-shading, photometric stereo, binocular and multinocular stereopsis, and structure-from-motion.
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