Abstract: A distributed imaging system for augmented reality devices is disclosed. The system includes a computing module in communication with a plurality of spatially distributed sensing devices. The computing module is configured to process input images from the sensing devices based on performing a local feature matching computation to generate corresponding first output images. The computing module is further configured to process the input images based on performing an optical flow correspondence computation to generate corresponding second output images. The computing module is further configured to computationally combine first and second output images to generate third output images.

Abstract: In one embodiment, an AR/VR system includes a social-networking application installed on the AR/VR system, which allows a user to access on online social network, including communicating with the user's social connections and interacting with content objects on the online social network. The AR/VR system also includes an AR/VR application, which allows the user to interact with an AR/VR platform by providing user input to the AR/VR application via various modalities. Based on the user input, the AR/VR platform generates responses and sends the generated responses to the AR/VR application, which then presents the responses to the user at the AR/VR system via various modalities.

Abstract: In one embodiment, a method includes determining a viewing direction of a scene and rendering an image of the scene for the viewing direction, wherein the rendering comprises: for each pixel of the image, casting a view ray into the scene, and for a particular sampling point along the view ray, determining a pixel radiance associated with surface light field (SLF) and opacity, which comprises identifying multiple voxels within a threshold distance to the particular sampling point, wherein each of the voxels is associated with a respective local plane, for each the voxels computing a pixel radiance associated with SLF and opacity based on locations of the particular sampling point and the local plane associated with that voxel, and determining the pixel radiance associated with SLF and opacity for the particular sampling point based on interpolating the pixel radiances associated with SLF and opacity associated with the multiple voxels.