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公开(公告)号：US20180165878A1
公开(公告)日：2018-06-14
申请号：US15374165
申请日：2016-12-09
Applicant: QUALCOMM Incorporated
Inventor： Moinul KHAN , Nhon QUACH , Martin RENSCHLER , Ramesh CHANDRASEKHAR , Assaf MENACHEM , Ning BI , Maurice RIBBLE
CPC classification number: G06T19/006 , G06F3/011 , G06F3/012 , G06F3/0346 , G06T1/60 , G06T3/0093 , G06T5/00 , G06T7/20 , G06T11/60
Abstract: Certain aspects of the present disclosure provide methods and apparatus for operating a wearable display device. Certain aspects of the present disclosure provide a method for operating a wearable display device. The method includes determining a position of the wearable display device based on a motion sensor. The method includes rendering, by a graphics processing unit, an image based on the determined position. The method includes determining a first updated position of the wearable display device based on the motion sensor. The method includes warping, by a warp engine, a first portion of the rendered image based on the first updated position. The method includes displaying the warped first portion of the rendered image on a display of the wearable display device.
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公开(公告)号：US20240320909A1
公开(公告)日：2024-09-26
申请号：US18187595
申请日：2023-03-21
Applicant: QUALCOMM Incorporated
Inventor： Yan DENG , Ze ZHANG , Michel Adib SARKIS , Ning BI
CPC classification number: G06T17/00 , G06T7/10 , G06T19/003 , G06T2207/20081 , G06T2207/20084 , G06T2219/004
Abstract: Systems and techniques are described herein for generating one or more three-dimensional models. For instance, a method for generating one or more three-dimensional models is provided. The method may include obtaining a plurality of images of an object; obtaining a plurality of segmentation masks associated with the plurality of images, each segmentation mask of the plurality of segmentation masks including at least one label indicative of at least one segment of the object in a respective image of the plurality of images; training, using the plurality of images and the plurality of segmentation masks, a machine-learning model to generate one or more semantically-labeled three-dimensional models of the object; and generating using the trained machine-learning model, a semantically-labeled three-dimensional model of the object, the semantically-labeled three-dimensional model of the object including at least one label indicative of the at least one segment of the object.
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公开(公告)号：US20240319374A1
公开(公告)日：2024-09-26
申请号：US18187616
申请日：2023-03-21
Applicant: QUALCOMM Incorporated
Inventor： Xiaoliang BAI , Yingyong QI , Li HONG , Ning BI , Xiaoyun JIANG
IPC: G01S17/894 , G01B11/22 , G01S7/4915 , G06T7/50
CPC classification number: G01S17/894 , G01B11/22 , G01S7/4915 , G06T7/50 , G06T2207/20021 , G06T2207/20084
Abstract: Systems and techniques are described herein for determining depth information. For instance, a method for determining depth information is provided. The method may include transmitting electromagnetic (EM) radiation toward a plurality of points in an environment; comparing a phase of the transmitted EM radiation with a phase of received EM radiation to determine a respective time-of-flight estimate of the EM radiation between transmission and reception for each point of the plurality of points in the environment; determining first depth information based on the respective time-of-flight estimates determined for each point of the plurality of points in the environment; obtaining second depth information based on an image of the environment; comparing the first depth information with the second depth information to determine an inconsistency between the first depth information and the second depth information; and adjusting a depth of the first depth information based on the inconsistency.
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公开(公告)号：US20240289970A1
公开(公告)日：2024-08-29
申请号：US18174525
申请日：2023-02-24
Applicant: QUALCOMM Incorporated
Inventor： Yan DENG , Michel Adib SARKIS , Ning BI , Nikolai Konrad LEUNG
CPC classification number: G06T7/344 , G06T7/12 , G06T17/00 , G06V20/70 , G06T2207/20021 , G06T2207/20221
Abstract: Techniques and systems are provided for image processing. For instance, a process can include obtaining, from one or more image sensors, a first image of an environment; determining semantic labels for a plurality of pixels of the first image based on whether each pixel of the plurality of pixels is associated with an object in the first image to generate a semantically segmented image; applying a two-dimensional line representation of the first image to the semantically segmented image to generate a labeled 2D line representation; back-projecting the labeled 2D line representation to three dimensions to generate a line representation model; fusing the line representation model and the semantically segmented image to generate a labeled line representation model; and outputting the labeled line representation model.
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公开(公告)号：US20230410447A1
公开(公告)日：2023-12-21
申请号：US17845884
申请日：2022-06-21
Applicant: QUALCOMM Incorporated
Inventor： Ke-Li CHENG , Anupama S , Kuang-Man HUANG , Chieh-Ming KUO , Avani RAO , Chiranjib CHOUDHURI , Michel Adib SARKIS , Ajit Deepak GUPTE , Ning BI
CPC classification number: G06T19/20 , G06T7/75 , G06T17/00 , G06V40/171 , G06T2207/20081 , G06T2207/30201 , G06T2200/08 , G06T2219/2021
Abstract: Systems and techniques are provided for generating a three-dimensional (3D) facial model. For example, a process can include obtaining at least one input image associated with a face. In some aspects, the process can include obtaining a pose for a 3D facial model associated with the face. In some examples, the process can include generating, by a machine learning model, the 3D facial model associated with the face. In some cases, one or more parameters associated with a shape component of the 3D facial model are conditioned on the pose. In some implementations, the 3D facial model is configured to vary in shape based on the pose for the 3D facial model associated with the face.
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Patent Agency Ranking
公开(公告)号：US20230386052A1
公开(公告)日：2023-11-30
申请号：US17828962
申请日：2022-05-31
Applicant: QUALCOMM Incorporated
Inventor： Jiancheng LYU , Dashan GAO , Yingyong QI , Shuai ZHANG , Ning BI
CPC classification number: G06T7/248 , G06V10/62 , G06T7/194 , G06T7/11 , G06V10/764 , G06V10/806 , G06T7/74 , G06V20/70 , G06V2201/07 , G06T2207/20081 , G06T2207/20221 , G06T2207/10016
Abstract: Systems and techniques are provided for performing scene segmentation and object tracking. For example, a method for processing one or more frames. The method may include determining first one or more features from a first frame. The first frame includes a target object. The method may include obtaining a first mask associated with the first frame. The first mask includes an indication of the target object. The method may further include generating, based on the first mask and the first one or more features, a representation of a foreground and a background of the first frame. The method may include determining second one or more features from a second frame and determining, based on the representation of the foreground and the background of the first frame and the second one or more features, a location of the target object in the second frame.
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公开(公告)号：US20230259594A1
公开(公告)日：2023-08-17
申请号：US17670183
申请日：2022-02-11
Applicant: QUALCOMM Incorporated
Inventor： Dashan GAO , Lei WANG , Ning BI , Mithun Kumar RANGANATH , Chun-Ting HUANG , Scott RUSNAK , David NEAL
CPC classification number: G06F21/32 , G06V40/16 , H04L9/3231 , H04L9/3236 , G06F2221/2141
Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media to implement a heterogenous biometric authentication process in a control system. For example, a method may include detecting the presence of a first person at a first time period and in an area associated with a function controlled by a control system. The method may include transmitting an authentication request to a first device detected by the control system, and receiving an authentication response from the first device. The authentication response includes information related to a biometric authentication performed at the first device. The method may further include authenticating the first person in the control system based on the information related to the biometric authentication. The method may then perform the function based on the authentication.
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公开(公告)号：US20230230331A1
公开(公告)日：2023-07-20
申请号：US17567678
申请日：2022-01-03
Applicant: QUALCOMM Incorporated
Inventor： Yan DENG , Michel Adib SARKIS , Ning BI
CPC classification number: G06T19/20 , G06T13/40 , G06T17/10 , G06T2219/2021
Abstract: The present disclosure generally relates to systems and techniques for constructing three-dimensional (3D) models. Certain aspects of the present disclosure provide an apparatus for model generation. The apparatus generally includes a memory, and one or more processors coupled to the memory. The one or more processors and the memory may be configured to receive one or more images depicting an object to be modeled, determine a category associated with the object to be modeled, select a shape of a space based on the category, and generate a 3D model of the object at least in part by carving one or more points associated with the space based on the one or more images depicting the object.
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公开(公告)号：US20220237862A1
公开(公告)日：2022-07-28
申请号：US17403656
申请日：2021-08-16
Applicant: QUALCOMM Incorporated
Inventor： Yan DENG , Michel Adib SARKIS , Ning BI , Chieh-Ming KUO
Abstract: Systems and techniques are provided for performing video-based activity recognition. For example, a process can include generating a three-dimensional (3D) model of a first portion of an object based on one or more frames depicting the object. The process can also include generating a mask for the one or more frames, the mask including an indication of one or more regions of the object. The process can further include generating a 3D base model based on the 3D model of the first portion of the object and the mask, the 3D base model representing the first portion of the object and a second portion of the object. The process can include generating, based on the mask and the 3D base model, a 3D model of the second portion of the object.
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公开(公告)号：US20220076039A1
公开(公告)日：2022-03-10
申请号：US17185800
申请日：2021-02-25
Applicant: QUALCOMM Incorporated
Inventor： Xin LI , Chun-Ting HUANG , Lei WANG , Ning BI
Abstract: Systems and techniques are provided for performing video-based activity recognition. For example, a process can include extracting, using a first machine learning model, first one or more features from a first frame and second one or more features from a second frame. The first one or more features and the second one or more features are associated with a person driving a vehicle. The process can include processing, using a second machine learning model, the first one or more features and the second one or more features. The process can include determining, based on processing of the first one or more features and the second one or more features using the second machine learning model, at least one activity associated with the person driving the vehicle.
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