Google Inc.

Sushil Nath

Szepo Robert Hung

Marius Renn

Shengyi Lin

Ying Chen Lou

Qiurui He

Nisha Masharani

Kiran Murthy

Leslie Tsu-Hwa Shaw

Leung Chun Chan

An example method includes outputting, by a computing device for display, one or more digital images that include a face of a user, receiving, by the computing device and based on a facial recognition process, an indication of a match between facial data associated with the face of the user and reference facial data associated with a face of an enrolled user of the computing device, and retrieving, by the computing device, digital makeup enhancement data that is associated with the reference facial data. The example method further includes applying, by the computing device, the digital makeup enhancement data to the facial data, of tire face of the user to generate one or more modified digital images that indicate at least one corresponding digital makeup enhancement to the face of the user, and outputting, by the computing device for display, the one or more modified digital images.

Applying stored digital makeup enhancements to recognized faces in digital images

The present disclosure relates to a low-light autofocus technique. One example embodiment includes a method. The method includes receiving an indication of a low-light condition for a camera system. The method also includes determining an extended exposure time for a low-light autofocus procedure of the camera system. Further, the method includes capturing, by the camera system, an extended frame for the low-light autofocus procedure. The extended frame is captured by die camera system using the determined extended exposure time. In addition, the method includes determining, based on the captured extended frame, an in-focus lens setting for a lens of the camera system.

Low-light autofocus technique

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Mountain View, CA, United States of America

Sushil Nath