Google Inc.

Arun Kumar Kandoor

Dillon Richard Cower

Tarek Hefny

Nicholas Reiter

Brandon Young

Arvind Balasubramanian

Akhil Raju

A method includes receiving a first facial framework and a first captured image of a face. The first facial framework corresponds to the face at a first frame and includes a first facial mesh of facial information. The method also includes projecting the first captured image onto the first facial framework and determining a facial texture corresponding to the face based on the projected first captured image. The method also includes receiving a second facial framework at a second frame that includes a second facial mesh of facial information and updating the facial texture based on the received second facial framework. The method also includes displaying the updated facial texture as a three-dimensional avatar. The three-dimensional avatar corresponds to a virtual representation of the face.

Puppeteering remote avatar by facial expressions

A method () includes receiving a first facial framework () and a first captured image () of a face (). The first facial framework corresponds to the face at a first frame and includes a first facial mesh () of facial information (). The method also includes projecting the first captured image onto the first facial framework and determining a facial texture () corresponding to the face based on the projected first captured image. The method also includes receiving a second facial framework () at a second frame that includes a second facial mesh () of facial information and updating the facial texture based on the received second facial framework. The method also includes displaying the updated facial texture as a three-dimensional avatar (). The three-dimensional avatar corresponds to a virtual representation of the face.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating synthesis videos. In one aspect, a method comprises identifying one or more topics for generation of a synthesis video. Videos are identified that are determined to be relevant to one or more of the identified topics. Video segments are extracted from one or more of the identified videos. For each of the video segments, a segment level score and a video level score are determined. A composite score for the video segment is determined by combining the segment level score and the video level score for the video segment. Video segments are selected for inclusion in the synthesis video based on the composite scores for the video segments. A synthesis video is generated by combining the selected video segments.

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San Jose, CA, United States of America

Arun Kumar Kandoor