Abstract: According to one implementation, a system for performing cosmetic transformation through image synthesis includes a computing platform having a hardware processor and a system memory storing an image synthesis software code. The hardware processor executes the image synthesis software code to receive a user image depicting a user of the system, to receive a reference image for transforming to resemble the user image, the reference image projecting an identifiable persona, and to generate a user image metadata describing the user image, based on the user image. The hardware processor further executes the image synthesis software code to identify a reference image metadata describing the reference image, and to transform the reference image to resemble the user image, based on the user image metadata and the reference image metadata, while preserving the identifiable persona projected by the reference image.

Abstract: A process and computer program product to record performance related data for a plurality of entertainment performances having a plurality of audiences. Further, the process and computer program product determine external data that is associated with the plurality of audiences and/or environmental factors corresponding to locations of the plurality of entertainment performances. In addition, the process and computer program product annotate the performance related data with the external data to generate annotated performance related data. The process and computer program product also train an artificial intelligence system based upon the annotated performance related data. The process and computer program product generate, at the artificial intelligence performance instructions to provide a performance. Further, the process and computer program product provide, from the artificial intelligence system to a performance device, the performance instructions to provide a performance.

Abstract: There is provided an augmented reality control for interacting with a virtual world comprising a projector, a display surface for displaying the virtual world, a physical object, a memory storing, and a processor to: project, using the projector, a user control onto the physical object including a visual representation correlated with a virtual element in the virtual world, determine a user input for controlling the virtual element based on a user manipulation of the physical object, and update, using the projector, the user control projected onto the physical object based on the user manipulation of the physical object to maintain the visual representation correlated with the virtual element in the virtual world.

Abstract: There is provided an augmented reality control for interacting with a virtual world comprising a projector, a display surface for displaying the virtual world, a physical object, a memory storing, and a processor to: project, using the projector, a user control onto the physical object including a visual representation correlated with a virtual element in the virtual world, determine a user input for controlling the virtual element based on a user manipulation of the physical object, and update, using the projector, the user control projected onto the physical object based on the user manipulation of the physical object to maintain the visual representation correlated with the virtual element in the virtual world.

Abstract: A process and computer program product to record performance related data for a plurality of entertainment performances having a plurality of audiences. Further, the process and computer program product determine external data that is associated with the plurality of audiences and/or environmental factors corresponding to locations of the plurality of entertainment performances. In addition, the process and computer program product annotate the performance related data with the external data to generate annotated performance related data. The process and computer program product also train an artificial intelligence system based upon the annotated performance related data. The process and computer program product generate, at the artificial intelligence performance instructions to provide a performance. Further, the process and computer program product provide, from the artificial intelligence system to a performance device, the performance instructions to provide a performance.

Abstract: A system and method for providing a personalized digital face chart. A digital image of a subject's face is obtained. A facial region of the digital image is identified from a background region of the digital image. A line drawing is generated based on at least the facial region of the digital image. The line drawing is stylized to generate a personalized digital face chart. A user interface configured to accept at least one face chart modification from a user is provided. The personalized digital face chart is modified based on the at least one face chart modification.

Abstract: A system and method for providing a personalized digital face chart. A digital image of a subject's face is obtained. A facial region of the digital image is identified from a background region of the digital image. A line drawing is generated based on at least the facial region of the digital image. The line drawing is stylized to generate a personalized digital face chart. A user interface configured to accept at least one face chart modification from a user is provided. The personalized digital face chart is modified based on the at least one face chart modification.

Abstract: A 3D face reconstruction technique using 2D images, such as photographs of a face, is described. Prior face knowledge or a generic face is used to extract sparse 3D information from the images and to identify image pairs. Bundle adjustment is carried out to determine more accurate 3D camera positions, image pairs are rectified, and dense 3D face information is extracted without using the prior face knowledge. Outliers are removed, e.g., by using tensor voting. A 3D surface is extracted from the dense 3D information and surface detail is extracted from the images.

Abstract: A system and method for providing a personalized digital face chart. A digital image of a subject's face is obtained. A facial region of the digital image is identified from a background region of the digital image. A line drawing is generated based on at least the facial region of the digital image. The line drawing is stylized to generate a personalized digital face chart. A user interface configured to accept at least one face chart modification from a user is provided. The personalized digital face chart is modified based on the at least one face chart modification.

Abstract: A 3D face reconstruction technique using 2D images, such as photographs of a face, is described. Prior face knowledge or a generic face is used to extract sparse 3D information from the images and to identify image pairs. Bundle adjustment is carried out to determine more accurate 3D camera positions, image pairs are rectified, and dense 3D face information is extracted without using the prior face knowledge. Outliers are removed, e.g., by using tensor voting. A 3D surface is extracted from the dense 3D information and surface detail is extracted from the images.

Abstract: A 3D face reconstruction technique using 2D images, such as photographs of a face, is described. Prior face knowledge or a generic face is used to extract sparse 3D information from the images and to identify image pairs. Bundle adjustment is carried out to determine more accurate 3D camera positions, image pairs are rectified, and dense 3D face information is extracted without using the prior face knowledge. Outliers are removed, e.g., by using tensor voting. A 3D surface is extracted from the dense 3D information and surface detail is extracted from the images.

Abstract: A 3D face reconstruction technique using 2D images, such as photographs of a face, is described. Prior face knowledge or a generic face is used to extract sparse 3D information from the images and to identify image pairs. Bundle adjustment is carried out to determine more accurate 3D camera positions, image pairs are rectified, and dense 3D face information is extracted without using the prior face knowledge. Outliers are removed, e.g., by using tensor voting. A 3D surface is extracted from the dense 3D information and surface detail is extracted from the images.

Abstract: A 3D face reconstruction technique using 2D images, such as photographs of a face, is described. Prior face knowledge or a generic face is used to extract spars(e 3D information from the images and to identify image pairs. Bundle adjustment is carried out to determine more accurate 3D camera positions, image pairs are rectified, and dense 3D face information is extracted without using the prior face knowledge. Outliers are removed, e.g., by using tensor voting. A 3D surface is extracted from the dense 3D information and surface detail is extracted from the images.