Abstract: Methods and apparatus for providing an expanded field of view (FoV) using multiple cameras of a device. A device may include front-facing cameras that capture views of an environment, as well as side cameras that capture wider-angle views. Images from the front and side cameras may be processed to provide a stereo view of the environment with an expanded FoV. Images from the front cameras are processed to provide stereo images, and depth information is generated from the stereo images. The depth information is expanded into a second layer, and a median depth is set for a third layer. The side camera images are undistorted, pixel information from the side camera images is then reprojected into the second and third layers, and the second and third layers are blurred.

Abstract: Novel viewpoints may be rendered using arrays of camera images with synthesized viewpoints. Different viewpoints of a scene may be captured via image sensors. Depth information may be determined for the captured viewpoints. An array of images may be generated that includes synthetic viewpoints generated from the captured viewpoints and depth information. A request to render a novel viewpoint may be received. Then novel viewpoint may be rendered using the array of images with synthetic viewpoints.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide images for displaying a 3D appearance of a tracked object on a view dependent device. In some implementations, a set of multiple images of the object from different capture positions is provided and then adjusted such as to render the object in focus when using the adjusted images for display on the view dependent device. In some implementations, the set of multiple images is provided that includes virtual images generated using virtual image sensors that may improve the appearance of out of focus regions (e.g., outside the 3D object appearance) on the view dependent device. In some implementations, the set of multiple images of a person provides a hologram of the person (e.g., left and right eye views provide the appearance of a 3D person) where the images are adjusted to improve gaze direction of eyes of the person.

Abstract: A method for image enhancement includes capturing multiple input images of a scene, including at least a first input image having a first field of view (FOV) captured with a first focal depth and a second input image having a second FOV captured with a second focal depth. The input images in the sequence are preprocessed so as to align the images. The aligned images are processed in a neural network, which generates an output image having an extended depth of field encompassing at least the first and second focal depths.

Abstract: Novel viewpoints may be rendered using arrays of camera images with synthesized viewpoints. Different viewpoints of a scene may be captured via image sensors. Depth information may be determined for the captured viewpoints. An array of images may be generated that includes synthetic viewpoints generated from the captured viewpoints and depth information. A request to render a novel viewpoint may be received. Then novel viewpoint may be rendered using the array of images with synthetic viewpoints.

Abstract: Novel viewpoints may be rendered using arrays of camera images with synthesized viewpoints. Different viewpoints of a scene may be captured via image sensors. Depth information may be determined for the captured viewpoints. An array of images may be generated that includes synthetic viewpoints generated from the captured viewpoints and depth information. A request to render a novel viewpoint may be received. Then novel viewpoint may be rendered using the array of images with synthetic viewpoints.