公开(公告)号：US10769414B2

公开(公告)日：2020-09-08

申请号：US16119842

申请日：2018-08-31

Applicant: Apple Inc.

Inventor： Atulit Kumar ,  Thorsten Gernoth ,  Feng Tang

IPC: G06K9/00 ,  G06T7/73

Abstract: A neural network may implement a face detection process on a mobile device or computer system. An image captured using a camera on the device may be processed using the face detection process. The face detection process may provide a bounding box for the face detected in the image. The face detected in the image may have any orientation. The face detected in the image may include either a whole face of the user or only a partial face of the user. The face detection process may provide face detection that is substantially invariant to exposure in the captured image. The face may also be detected over a wide range of distances between the camera and the face of the user.

公开(公告)号：US10650540B2

公开(公告)日：2020-05-12

申请号：US16513854

申请日：2019-07-17

Applicant: Apple Inc.

Inventor： Thorsten Gernoth ,  Ian R. Fasel ,  Haitao Guo ,  Atulit Kumar

IPC: G06T7/514 ,  G01B11/14 ,  G06T7/73 ,  G06K9/20 ,  H04N5/225 ,  H04N5/33 ,  G01B11/25 ,  G06K9/00

Abstract: An estimate of distance between a user and a camera on a device is used to determine an illumination pattern density used for speckle pattern illumination of the user in subsequent images. The distance may be estimated using an image captured when the user is illuminated with flood infrared illumination. Either a sparse speckle (dot) pattern illumination pattern or a dense speckle pattern illumination pattern is used depending on the distance between the user's face and the camera.

公开(公告)号：US20190370529A1

公开(公告)日：2019-12-05

申请号：US16119842

申请日：2018-08-31

Applicant: Apple Inc.

Inventor： Atulit Kumar ,  Thorsten Gernoth ,  Feng Tang

IPC: G06K9/00 ,  G06T7/73

Abstract: A neural network may implement a face detection process on a mobile device or computer system. An image captured using a camera on the device may be processed using the face detection process. The face detection process may provide a bounding box for the face detected in the image. The face detected in the image may have any orientation. The face detected in the image may include either a whole face of the user or only a partial face of the user. The face detection process may provide face detection that is substantially invariant to exposure in the captured image. The face may also be detected over a wide range of distances between the camera and the face of the user.

公开(公告)号：US10430645B2

公开(公告)日：2019-10-01

申请号：US16240970

申请日：2019-01-07

Applicant: Apple Inc.

Inventor： Eslam A. Mostafa ,  Thorsten Gernoth ,  Kelsey Y. Ho

IPC: G06K9/00 ,  G06F21/32

Abstract: A facial recognition authentication on a device having a camera may operate with multiple enrollment profiles on the device. Multiple enrollment profiles may include separate profiles for different appearances of a user and/or separate profiles for different users authorized to use the device. The enrollment profiles may be generated using an enrollment process where the enrollment process is operated separately to generate each of the different enrollment profiles. During the facial recognition authentication process, a user may unlock the device by having a matching score for image(s) captured of the user that that exceeds an unlock threshold for at least one of the enrollment profiles. The user may have a matching score that exceeds the unlock threshold for multiple enrollment profiles. Each enrollment profile unlocks the device for the user may be updated using a template update process that operates independently for each enrollment profile.

公开(公告)号：US20190042833A1

公开(公告)日：2019-02-07

申请号：US15910551

申请日：2018-03-02

Applicant: Apple Inc.

Inventor： Thorsten Gernoth ,  Atulit Kumar ,  Ian R. Fasel ,  Haitao Guo ,  Onur C. Hamsici

IPC: G06K9/00 ,  G06T7/521

CPC classification number: G06K9/00288 ,  G06K9/00221 ,  G06K9/00255 ,  G06K9/00302 ,  G06K9/2036 ,  G06K9/6273 ,  G06K2209/401 ,  G06T7/521

Abstract: A single network encodes and decodes an image captured using a camera on a device. The single network detects if a face is in the image. If a face is detected in the image, the single network determines properties of the face in the image and outputs the properties along with the face detection output. Properties of the face may be determined by sharing the task for face detection. Properties of the face that are output along with the face detection output include the location of the face, the pose of the face, and/or the distance of the face from the camera.

公开(公告)号：US20180336399A1

公开(公告)日：2018-11-22

申请号：US15934578

申请日：2018-03-23

Applicant: Apple Inc.

Inventor： Thorsten Gernoth ,  Joerg A. Liebelt ,  Onur C. Hamsici ,  Kelsey Y. Ho

IPC: G06K9/00 ,  G06F3/01 ,  G06F15/18

CPC classification number: G06K9/00288 ,  G06F1/3231 ,  G06F1/3265 ,  G06F3/012 ,  G06F15/76 ,  G06K9/00255 ,  G06K9/00268 ,  G06K9/6274 ,  G06K9/6277 ,  G06N3/0445 ,  G06N3/08 ,  G06N20/00 ,  G06N20/10

Abstract: Detection of a user paying attention to a device may be used to enable or support biometric security (e.g., facial recognition) enabled features on the device. Images captured by a camera on the device may be used to determine if the user is paying attention to the device. Facial features of the user's face in the images may be assessed to determine if the user is paying attention to the device. Facial features may be assessed through comparison of feature vectors generated from the captured image feature to a set of known feature vectors. The known feature vectors for attention may be generated using a machine learning process.

公开(公告)号：US20240169046A1

公开(公告)日：2024-05-23

申请号：US18521808

申请日：2023-11-28

Applicant: Apple Inc.

Inventor： Deepti S. Prakash ,  Lucia E. Ballard ,  Jerrold V. Hauck ,  Feng Tang ,  Etai Littwin ,  Pavan Kumar Anasosalu Vasu ,  Gideon Littwin ,  Thorsten Gernoth ,  Lucie Kucerova ,  Petr Kostka ,  Steven P. Hotelling ,  Eitan Hirsh ,  Tal Kaitz ,  Jonathan Pokrass ,  Andrei Kolin ,  Moshe Laifenfeld ,  Matthew C. Waldon ,  Thomas P. Mensch ,  Lynn R. Youngs ,  Christopher G. Zeleznik ,  Michael R. Malone ,  Ziv Hendel ,  Ivan Krstic ,  Anup K. Sharma

IPC: G06F21/32 ,  G06F21/83 ,  G06V40/16 ,  G06V40/40 ,  H04L9/08 ,  H04L9/32 ,  H04L9/40 ,  H04W12/06

CPC classification number: G06F21/32 ,  G06F21/83 ,  G06V40/166 ,  G06V40/172 ,  G06V40/40 ,  H04L9/0844 ,  H04L9/085 ,  H04L9/3228 ,  H04L9/3231 ,  H04L9/3234 ,  H04L9/3247 ,  H04L63/0861 ,  H04W12/06

Abstract: Techniques are disclosed relating to biometric authentication, e.g., facial recognition. In some embodiments, a device is configured to verify that image data from a camera unit exhibits a pseudo-random sequence of image capture modes and/or a probing pattern of illumination points (e.g., from lasers in a depth capture mode) before authenticating a user based on recognizing a face in the image data. In some embodiments, a secure circuit may control verification of the sequence and/or the probing pattern. In some embodiments, the secure circuit may verify frame numbers, signatures, and/or nonce values for captured image information. In some embodiments, a device may implement one or more lockout procedures in response to biometric authentication failures. The disclosed techniques may reduce or eliminate the effectiveness of spoofing and/or replay attacks, in some embodiments.

公开(公告)号：US20230096119A1

公开(公告)日：2023-03-30

申请号：US17945196

申请日：2022-09-15

Applicant: Apple Inc

Inventor： Thorsten Gernoth ,  Cheng Lu ,  Hao Tang ,  Michael P. Johnson

IPC: G06T17/00 ,  G06T7/50 ,  G06V10/60

Abstract: 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.

公开(公告)号：US11561621B2

公开(公告)日：2023-01-24

申请号：US16600830

申请日：2019-10-14

Applicant: Apple Inc.

Inventor： Feng Tang ,  Chong Chen ,  Haitao Guo ,  Xiaojin Shi ,  Thorsten Gernoth

IPC: G06F3/01 ,  G06F3/03 ,  G06K9/62 ,  G06F3/16 ,  G06V40/10

Abstract: Intelligent systems are disclosed that respond to user intent and desires based upon activity that may or may not be expressly directed at the intelligent system. In some embodiments, the intelligent system acquires a depth image of a scene surrounding the system. A scene geometry may be extracted from the depth image and elements of the scene may be monitored. In certain embodiments, user activity in the scene is monitored and analyzed to infer user desires or intent with respect to the system. The interpretation of the user's intent as well as the system's response may be affected by the scene geometry surrounding the user and/or the system. In some embodiments, techniques and systems are disclosed for interpreting express user communication, e.g., expressed through hand gesture movements. In some embodiments, such gesture movements may be interpreted based on real-time depth information obtained from, e.g., optical or non-optical type depth sensors.

公开(公告)号：US11386355B2

公开(公告)日：2022-07-12

申请号：US16706578

申请日：2019-12-06

Applicant: Apple Inc.

Inventor： Carlos E. Guestrin ,  Leon A. Gatys ,  Shreyas V. Joshi ,  Gustav M. Larsson ,  Kory R. Watson ,  Srikrishna Sridhar ,  Karla P. Vega ,  Shawn R. Scully ,  Thorsten Gernoth ,  Onur C Hamsici

IPC: G06T7/194 ,  G06N20/00 ,  G06T3/40

Abstract: A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.