A display apparatus includes a first pixel and a second pixel. Each of the first and second pixels includes a first sub-pixel which emits light having a first color, a second sub-pixel which emits light having a second color different from the first color, a third sub-pixel which emits light having a third color different from the first and second colors, and an infrared sub-pixel which emits infrared light. The infrared light emitted from the infrared sub-pixel in the first pixel and the infrared light emitted from the infrared sub-pixel in the second pixel have different intensities from each other.

A display apparatus includes a first pixel and a second pixel. Each of the first and second pixels includes a first sub-pixel which emits light having a first color, a second sub-pixel which emits light having a second color different from the first color, a third sub-pixel which emits light having a third color different from the first and second colors, and an infrared sub-pixel which emits infrared light. The infrared light emitted from the infrared sub-pixel in the first pixel and the infrared light emitted from the infrared sub-pixel in the second pixel have different intensities from each other.

An exemplary method includes maintaining a receiver-side mesh-vertices list, receiving duplicative-vertex information from a sender, and responsively reducing the receiver-side mesh-vertices list in accordance with the received duplicative-vertex information, and rendering, using the reduced receiver-side mesh-vertices list, viewpoint-adaptive three-dimensional (3D) personas of a subject at least in part by weighting video pixel colors from different video-camera vantage points of video cameras that capture video streams of the subject, the weighting being performed according to a respective geometric relationship of each video-camera vantage point to a user-selected viewpoint.

An exemplary method includes maintaining a receiver-side mesh-vertices list, receiving duplicative-vertex information from a sender, and responsively reducing the receiver-side mesh-vertices list in accordance with the received duplicative-vertex information, and rendering, using the reduced receiver-side mesh-vertices list, viewpoint-adaptive three-dimensional (3D) personas of a subject at least in part by weighting video pixel colors from different video-camera vantage points of video cameras that capture video streams of the subject, the weighting being performed according to a respective geometric relationship of each video-camera vantage point to a user-selected viewpoint.

An electronic device includes a first camera, a second camera, a display, a memory, and a processor. The processor collects a first image obtained by the first camera with respect to an external object and a second image obtained by the second camera with respect to the external object, generates a third image with respect to the external object using a first area of the first image and a second area of the second image, which corresponds to the first area, identifies an input associated with the third image displayed through the display, and displays an image generated using at least one of the first image, the second image, or depth information in response to the input. The generating operation of the third image includes generating the depth information with respect to the third image.

A method for generating a three-dimensional (3D) model of an object includes: capturing images of the object from a plurality of viewpoints, the images including color images; generating a 3D model of the object from the images, the 3D model including a plurality of planar patches; for each patch of the planar patches: mapping image regions of the images to the patch, each image region including at least one color vector; and computing, for each patch, at least one minimal color vector among the color vectors of the image regions mapped to the patch; generating a diffuse component of a bidirectional reflectance distribution function (BRDF) for each patch of planar patches of the 3D model in accordance with the at least one minimal color vector computed for each patch; and outputting the 3D model with the BRDF for each patch.

A method for generating a three-dimensional (3D) model of an object includes: capturing images of the object from a plurality of viewpoints, the images including color images; generating a 3D model of the object from the images, the 3D model including a plurality of planar patches; for each patch of the planar patches: mapping image regions of the images to the patch, each image region including at least one color vector; and computing, for each patch, at least one minimal color vector among the color vectors of the image regions mapped to the patch; generating a diffuse component of a bidirectional reflectance distribution function (BRDF) for each patch of planar patches of the 3D model in accordance with the at least one minimal color vector computed for each patch; and outputting the 3D model with the BRDF for each patch.

The present disclosure relates to methods and devices for performing depth estimation on image data. In one example, a device performs depth estimation on first and second images captured using one or more cameras having a color filter array. Each, image of the first and second images comprises multiple color channels. Each color channel of the multiple color channels corresponds to a respective color channel of the color filter array.sub.. The, device performs the depth estimation by estimating disparity from the color channels of the first and second images.

The present disclosure relates to methods and devices for performing depth estimation on image data. In one example, a device performs depth estimation on first and second images captured using one or more cameras having a color filter array. Each, image of the first and second images comprises multiple color channels. Each color channel of the multiple color channels corresponds to a respective color channel of the color filter array.sub.. The, device performs the depth estimation by estimating disparity from the color channels of the first and second images.

A surveillance sensor system for a surveillance network configured to monitor an environment surrounding a device, and including a processing unit, a tridimensional sensor and a camera. The surveillance sensor system is providing to the surveillance network, a global tridimensional map, a plurality of features including associations of the features to the corresponding tridimensional data points in the global tridimensional map, and including properties determined for each feature. The surveillance sensor system is not providing the images from the camera to the surveillance network.