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21.
公开(公告)号:US10444854B2
公开(公告)日:2019-10-15
申请号:US16055994
申请日:2018-08-06
Applicant: Apple Inc.
Inventor: Feng Tang , Chong Chen , Haitao Guo , Xiaojin Shi , Thorsten Gernoth
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.
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22.
公开(公告)号:US10048765B2
公开(公告)日:2018-08-14
申请号:US14865850
申请日:2015-09-25
Applicant: Apple Inc.
Inventor: Feng Tang , Chong Chen , Haitao Guo , Xiaojin Shi , Thorsten Gernoth
Abstract: Varying embodiments of 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, such as walls, furniture, and humans may be evaluated and 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 or desire 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, for example, expressed through fine hand gesture movements. In some embodiments, such gesture movements may be interpreted based on real-time depth information obtained from, for example, optical or non-optical type depth sensors. The depth information may be interpreted in “slices” (three-dimensional regions of space having a relatively small depth) until one or more candidate hand structures are detected. Once detected, each candidate hand structure may be confirmed or rejected based on its own unique physical properties (e.g., shape, size and continuity to an arm structure). Each confirmed hand structure may be submitted to a depth-aware filtering process before its own unique three-dimensional features are quantified into a high-dimensional feature vector. A two-step classification scheme may be applied to the feature vectors to identify a candidate gesture (step 1), and to reject candidate gestures that do not meet a gesture-specific identification operation (step-2). The identified gesture may be used to initiate some action controlled by a computer system.
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公开(公告)号:US20160048726A1
公开(公告)日:2016-02-18
申请号:US14706649
申请日:2015-05-07
Applicant: Apple Inc.
Inventor: Feng Tang , Ang Li , Xiaojin Shi
CPC classification number: G06K9/00355 , G06F3/017 , G06F3/0304 , G06F3/0425 , G06K9/4609 , G06T7/246 , G06T7/254 , G06T2200/04 , G06T2207/30196 , H04N13/207 , H04N13/271 , H04N2013/0085
Abstract: In the field of Human-computer interaction (HCI), i.e., the study of the interfaces between people (i.e., users) and computers, understanding the intentions and desires of how the user wishes to interact with the computer is a very important problem. The ability to understand human gestures, and, in particular, hand gestures, as they relate to HCI, is a very important aspect in understanding the intentions and desires of the user in a wide variety of applications. In this disclosure, a novel system and method for three-dimensional hand tracking using depth sequences is described. Some of the major contributions of the hand tracking system described herein include: 1.) a robust hand detector that is invariant to scene background changes; 2.) a bi-directional tracking algorithm that prevents detected hands from always drifting closer to the front of the scene (i.e., forward along the z-axis of the scene); and 3.) various hand verification heuristics.
Abstract translation: 在人机互动(HCI)领域,即研究人(即用户)和计算机之间的界面,理解用户希望如何与计算机交互的意图和欲望是非常重要的问题。 了解人类手势,特别是手势,因为它们与HCI相关的能力在理解用户在各种应用中的意图和欲望方面是一个非常重要的方面。 在本公开中,描述了使用深度序列的三维手跟踪的新颖系统和方法。 本文描述的手持跟踪系统的一些主要贡献包括:1.)对场景背景变化不变的鲁棒手指检测器; 2.)双向跟踪算法,其防止检测到的手总是漂移到靠近场景的前方(即,沿着场景的z轴向前); 和3.)各种手验证启发式。
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公开(公告)号:US20240161410A1
公开(公告)日:2024-05-16
申请号:US18422429
申请日:2024-01-25
Applicant: Apple Inc.
Inventor: Feng Tang , Afshin Dehghan , Kai Kang , Yang Yang , Yikang Liao , Guangyu Zhao
IPC: G06T19/00 , G06F18/21 , G06F18/214 , G06F18/24 , G06N3/045 , G06T7/50 , G06T7/73 , G06T11/00 , G06T15/20 , G06T19/20 , G06V10/22 , G06V20/00 , G06V20/10 , G06V20/64 , G06V30/262 , H04N7/18
CPC classification number: G06T19/00 , G06F18/21 , G06F18/2148 , G06F18/217 , G06F18/24 , G06N3/045 , G06T7/50 , G06T7/73 , G06T11/00 , G06T15/205 , G06T19/003 , G06T19/20 , G06V10/22 , G06V20/10 , G06V20/36 , G06V20/64 , G06V30/274 , H04N7/183 , G06T2207/20081 , G06T2207/20084 , G06T2210/04 , G06T2210/12 , G06T2210/56
Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.
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公开(公告)号:US11868455B2
公开(公告)日:2024-01-09
申请号:US17182076
申请日:2021-02-22
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
CPC classification number: G06F21/32 , G06F21/83 , G06V40/166 , G06V40/172 , G06V40/40 , H04L9/085 , H04L9/0844 , 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.
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公开(公告)号:US20230099463A1
公开(公告)日:2023-03-30
申请号:US17945216
申请日:2022-09-15
Applicant: Apple Inc.
IPC: G06F30/13
Abstract: Various implementations provide a 3D floor plan based on scanning a room and detecting windows, doors, and openings using 2D orthographic projection. Points of a dense set of points (e.g., a dense point cloud) that are close to a plane representing a wall are projected onto the plane and used to identify windows, doors, and opening on the wall. Representations of the detected windows, doors, and openings may then be positioned in a 3D floor plan based on the known position of the wall within the corresponding room, i.e., the location of the wall plane relative to the dense point cloud is known. Other aspects of a 3D floor plan may be detected directly from points of a dense 3D point cloud, windows, doors, and openings may be detected indirectly using projections of the points of the 3D point cloud onto a 2D plane, and the detected aspects may be combined into a single 3D floor plan.
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公开(公告)号:US11163981B2
公开(公告)日:2021-11-02
申请号:US16277282
申请日:2019-02-15
Applicant: Apple Inc.
Inventor: Joshua M. Susskind , Walter A. Talbott , Shih-Yu Sun , Feng Tang
Abstract: A facial recognition authentication process operating on a device may capture an image of a user using a camera on the device. The facial recognition authentication process may include operating a full face facial recognition authentication process on the captured image or operating a partial face facial recognition authentication process on the captured image. The process may determine which process to operate (either full face or partial face) based on an assessment of an amount of occlusion in the captured image. The partial face facial recognition authentication process may be operated when there is at least some occlusion of selected features (e.g., nose and/or mouth) on the user's face in the captured image.
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公开(公告)号:US11010905B2
公开(公告)日:2021-05-18
申请号:US16428688
申请日:2019-05-31
Applicant: Apple Inc.
Inventor: Afshin Dehghan , Yang Yang , Feng Tang , Kelsey Y. Ho
Abstract: Techniques described herein provide efficient object detection and tracking in video images, such as may be used for real-time camera control in power-limited mobile image capture devices. The techniques include performing object detection on a first subset of frames of an input video, detecting an object and object location in a first detection frame of the first subset of frames, and tracking the detected object on a second subset of frames of the input video after the first detection frame.
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公开(公告)号:US10929515B2
公开(公告)日:2021-02-23
申请号:US16049933
申请日:2018-07-31
Applicant: Apple Inc.
Inventor: Deepti S. Prakash , Lucia E. Ballard , Jerrold V. Hauck , Feng Tang , Etai Littwin , Pavan Kumar Ansosalu 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
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.
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公开(公告)号:US20200285875A1
公开(公告)日:2020-09-10
申请号:US16708770
申请日:2019-12-10
Applicant: Apple Inc.
Inventor: Eslam A. Mostafa , Haitao Guo , Feng Tang
Abstract: Templates used for a facial recognition process for authentication of a user to use a device may be updated by the device as features of the user change over time. Features of the user may gradually change over time due to changes such as facial hair changes, haircuts, gaining/losing weight, and/or aging. Updating the templates used for the facial recognition process may allow the user to continue being authenticated as features of the user change without the need for additional enrollments of the user.
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