Google Inc.

Guangyu Zhou

Dillon Richard Cower

Niklas Enbom

Qiang Chen

Dillon Cower

Implementations described herein relate to methods, systems, and computer-readable media to relight a video. In some implementations, a computer-implemented method includes receiving a plurality of frames of a video. Each video frame includes depth data and color data for a plurality of pixels. The method further includes segmenting each frame based on the depth data to classify each pixel as a foreground pixel or a background pixel. The method further includes setting depth value of each background pixel to a fixed depth value and applying a Gaussian filter to smooth depth value for the plurality of pixels. The method further includes calculating surface normals based on the depth values of the plurality of pixels. The method further includes rendering a relighted frame by adding a virtual light based on the surface normals and the color data.

Video lighting using depth and virtual lights

Implementations described herein relate to methods, systems, and computer-readable media to render a foreground video. In some implementations, a method includes receiving a plurality of video frames that include depth data and color data. The method further includes downsampling the frames of the video. The method further includes, for each frame, generating an initial segmentation mask that categorizes each pixel of the frame as foreground pixel or background pixel. The method further includes determining a trimap that classifies each pixel of the frame as known background, known foreground, or unknown. The method further includes, for each pixel that is classified as unknown, calculating and storing a weight in a weight map. The method further includes performing fine segmentation to obtain a binary mask for each frame. The method further includes upsampling the plurality of frames based on the binary mask for each frame to obtain a foreground video.

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San Francisco, CA, United States of America

Guangyu Zhou