Apple Inc.

Applied Materials, Inc.

Hao Tang

Erica Chen

Yongan Xu

Kang Luo

Thorsten Gernoth

Feng Tang

Eslam A Mostafa

Michael P Johnson

Cheng Lu

Various implementations disclosed herein provide feedback to a user during object scanning based on how well sensor data of the scanned object has been captured. During object scanning a user may move an electronic device with sensors (e.g., cameras, depth sensors, etc.) around an object to capture sensor data for use in generating a final 3D model of the object. Live feedback during the scanning process is enabled by assessing how well the captured sensor data represents different portions of the object. In some implementations, a 3D model is generated, updated, and assessed based on the sensor data live during the scanning process. This live 3D model may be coarser (i.e., having fewer details) than the final 3D model.

Feedback using coverage for object scanning

A method of imprinting a pattern on a substrate is provided. The method includes forming a first pattern on a plurality of masters using a method other than imprinting, the first pattern including a plurality of patterned features of varying sizes; measuring the patterned features at a plurality of locations on each of the masters; selecting a first master of the plurality of masters based on the measurements of the patterned features on each of the masters; using the first master to form a second pattern on an imprint template; and imprinting the first pattern on a first device with the imprint template.

Methods of greytone imprint lithography to fabricate optical devices

A device with a camera may utilize an enrollment process to capture images of an authorized user to enroll the user for a facial recognition authorization process. The enrollment process may include one or more processes that identify if an identity of the authorized user (e.g., the subject of the enrollment process) has switched during the enrollment process. The processes may include detection and verification of the switch in identities by comparing features of subjects in images as the images are captured during the enrollment process. If the identity of the subject is determined to be switched from the authorized user during the enrollment process, the enrollment process may be restarted. Additionally, clustering of feature vectors from the enrollment images may be used to remove outlying feature vectors that may be generated from one or more images of a subject other than the authorized user.

Detection of identity changes during facial recognition enrollment process

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San Jose, CA, United States of America

Hao Tang