Facebook, Inc.

Carnegie Mellon University

Gm Global Technolgoy Operations, Inc.

Dong Huang

Fernando De La Torre

Francisco Vicente Carrasco

Wende Zhang

Dan Levi

Debbie E Nachtegall

Jeffrey F Cohn

Systems, methods, and non-transitory computer readable media can obtain a first image depicting a face of a user. A plurality of images depicting the face of the user can be identified. A second image of the plurality of images can be identified based on one or more factors. The face or a portion of the face of the user in the first image can be replaced with the face or a portion of the face of the user in the second image.

Systems and methods for swapping faces and face components based on facial recognition

Systems, methods, and non-transitory computer readable media can obtain a first image of a first user depicting a face of the first user with a neutral expression or position. A first image of a second user depicting a face of the second user with a neutral expression or position can be identified, wherein the face of the second user is similar to the face of the first user based on satisfaction of a threshold value. A second image of the first user depicting the face of the first user with an expression different from the neutral expression or position can be generated based on a second image of the second user depicting the face of the second user with an expression or position different from the neutral expression or position.

Systems and methods for generating personalized emoticons and lip synching videos based on facial recognition

A system and method for real-time image and video face de-identification that removes the identity of the subject while preserving the facial behavior is described The facial features of the source face are replaced with that of the target face while preserving the facial actions of the source face on the target face. The facial actions of the source face are transferred to the target face using personalized Facial Action Transfer (FAT), and the color and illumination is adapted. Finally, the source image or video containing the target facial features is outputted for display. Alternatively, the system can run in real-time.

System and method for processing video to provide facial de-identification

A method for detecting an eyes-off-the-road condition based on an estimated gaze direction of a driver of a vehicle includes monitoring facial feature points of the driver within image input data captured by an in-vehicle camera device. A location for each of a plurality of eye features for an eyeball of the driver is detected based on the monitored facial features. A head pose of the driver is estimated based on the monitored facial feature points. The gaze direction of the driver is estimated based on the detected location for each of the plurality of eye features and the estimated head pose.

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Pittsburgh, PA, United States of America

Dong Huang