Abstract: Described are computer-based methods and apparatuses, including computer program products, for alternate viewpoint rendering. A first image and a set of pixel-shift values for the pixels in the first image are received. A portion of a second image is generated, the second image comprising a different viewpoint than a viewpoint of the first image. A first pixel from the set of pixels is selected based on the different viewpoint. A first destination pixel is identified for the first pixel in the second image based on a pixel-shift value from the set of pixel-shift values associated with the first pixel. A value of the first destination pixel is determined based on at least one of (a) a previously considered pixel from the set of pixels of the first image that is horizontally adjacent to the first pixel or (b) the pixel-shift value associated with the first pixel.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for pulling keys from color segmented images. Data indicative of a two dimensional image is stored in a data storage device, the two dimensional image comprising a plurality of pixels. A plurality of color segmented frames are generated based on the two dimensional image, wherein each color segmented frame comprises one or more objects. For each of the color segmented frames, a key is generated based on the one or more objects. A depth map is calculated for the two dimensional image based on the keys, wherein the depth map comprises data indicative of three dimensional information for each pixel of the two dimensional image.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for alternate viewpoint rendering. A first image and a set of pixel-shift values for the pixels in the first image are received. A portion of a second image is generated, the second image comprising a different viewpoint than a viewpoint of the first image. A first pixel from the set of pixels is selected based on the different viewpoint. A first destination pixel is identified for the first pixel in the second image based on a pixel-shift value from the set of pixel-shift values associated with the first pixel. A value of the first destination pixel is determined based on at least one of (a) a previously considered pixel from the set of pixels of the first image that is horizontally adjacent to the first pixel or (b) the pixel-shift value associated with the first pixel.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for alternate viewpoint rendering. A first image and a set of pixel-shift values for the pixels in the first image are received. A portion of a second image is generated, the second image comprising a different viewpoint than a viewpoint of the first image. A first pixel from the set of pixels is selected based on the different viewpoint. A first destination pixel is identified for the first pixel in the second image based on a pixel-shift value from the set of pixel-shift values associated with the first pixel. A value of the first destination pixel is determined based on at least one of (a) a previously considered pixel from the set of pixels of the first image that is horizontally adjacent to the first pixel or (b) the pixel-shift value associated with the first pixel.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for auto-stereoscopic interpolation. A first two dimensional image and a second two dimensional image are received. A reduced pixel image is generated for each of the first and second two dimensional images, wherein each reduced pixel image comprises a reduced pixel size that is less than the original pixel size. Boundary information is calculated for each of the first and second two dimensional images. A depth map is calculated for the first and second reduced pixel images, wherein the depth map comprises data indicative of three dimensional information for one or more objects in the first and second reduced pixel images. A depth map is calculated for the first and second two dimensional images based on the boundary information for each of the first and second two dimensional images and the depth map of the first and second reduced pixel images.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for pulling keys from color segmented images. Data indicative of a two dimensional image is stored in a data storage device, the two dimensional image comprising a plurality of pixels. A plurality of color segmented frames are generated based on the two dimensional image, wherein each color segmented frame comprises one or more objects. For each of the color segmented frames, a key is generated based on the one or more objects. A depth map is calculated for the two dimensional image based on the keys, wherein the depth map comprises data indicative of three dimensional information for each pixel of the two dimensional image.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for pulling keys from color segmented images. Data indicative of a two dimensional image is stored in a data storage device, the two dimensional image comprising a plurality of pixels. A plurality of color segmented frames are generated based on the two dimensional image, wherein each color segmented frame comprises one or more objects. For each of the color segmented frames, a key is generated based on the one or more objects. A depth map is calculated for the two dimensional image based on the keys, wherein the depth map comprises data indicative of three dimensional information for each pixel of the two dimensional image.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for alternate viewpoint rendering. A first image and a set of pixel-shift values for the pixels in the first image are received. A portion of a second image is generated, the second image comprising a different viewpoint than a viewpoint of the first image. A first pixel from the set of pixels is selected based on the different viewpoint. A first destination pixel is identified for the first pixel in the second image based on a pixel-shift value from the set of pixel-shift values associated with the first pixel. A value of the first destination pixel is determined based on at least one of (a) a previously considered pixel from the set of pixels of the first image that is horizontally adjacent to the first pixel or (b) the pixel-shift value associated with the first pixel.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for pulling keys from color segmented images. Data indicative of a two dimensional image is stored in a data storage device, the two dimensional image comprising a plurality of pixels. A plurality of color segmented frames are generated based on the two dimensional image, wherein each color segmented frame comprises one or more objects. For each of the color segmented frames, a key is generated based on the one or more objects. A depth map is calculated for the two dimensional image based on the keys, wherein the depth map comprises data indicative of three dimensional information for each pixel of the two dimensional image.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for auto-stereoscopic interpolation. A first two dimensional image and a second two dimensional image are received. A reduced pixel image is generated for each of the first and second two dimensional images, wherein each reduced pixel image comprises a reduced pixel size that is less than the original pixel size. Boundary information is calculated for each of the first and second two dimensional images. A depth map is calculated for the first and second reduced pixel images, wherein the depth map comprises data indicative of three dimensional information for one or more objects in the first and second reduced pixel images. A depth map is calculated for the first and second two dimensional images based on the boundary information for each of the first and second two dimensional images and the depth map of the first and second reduced pixel images.