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21.发明申请公开(公告)号：US20180253848A1
公开(公告)日：2018-09-06
申请号：US15599281
申请日：2017-05-18
Applicant: QUALCOMM Incorporated
Inventor： Ying CHEN , Ning BI , Zhongmin WANG
CPC classification number: G06T7/11 , G06T7/70 , G06T2210/12
Abstract: Methods, apparatuses, and computer-readable media are provided for splitting one or more merged blobs for one or more video frames. A blob detected for a current video frame is identified. The identified blob includes pixels of at least a portion of a foreground object in the current video frame. The identified blob is determined to be associated with two or more blob trackers from a plurality of blob trackers. The plurality of blob trackers are received from an object tracking operation performed for a previous video frame. It is then determined whether one or more splitting conditions are met. The splitting conditions can be based on a spatial relationship between bounding regions of the two or more blob trackers and a bounding region of the identified blob. The identified blob can be split into a first blob and a second blob in response to determining the one or more splitting conditions are met. If the identified blob is split, the first blob and the second blob are output for object tracking for the current frame by an object tracking system. In some cases, the identified blob is not output for object tracking for the current frame.
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公开(公告)号：US20240212308A1
公开(公告)日：2024-06-27
申请号：US18069993
申请日：2022-12-21
Applicant: QUALCOMM Incorporated
Inventor： Yuan LI , Lei WANG , Leulseged Tesfaye ALEMU , Dashan GAO , Ning BI
CPC classification number: G06V10/267 , G06V10/7715 , G06V10/82 , G06V40/172
Abstract: System and techniques are described herein for processing images to detect objects in the provided images. In one illustrative example, a method of processing image data includes obtaining an image including at least a first object. The method can include generating a feature map based on providing the image to a neural network. The method can further include identifying a plurality of objects based on the feature map, the plurality of objects including a first part of the first object. The method can include identifying a first set of object parts within the plurality of objects corresponding to the first object.
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公开(公告)号：US20240119627A1
公开(公告)日：2024-04-11
申请号：US17962238
申请日：2022-10-07
Applicant: QUALCOMM INCORPORATED
Inventor： Min GUO , Srinivasa DEEVI , Ning BI
IPC: G06T7/73
CPC classification number: G06T7/74 , G06T2207/20221 , G06T2207/30196
Abstract: Methods, systems, and apparatuses to fuse a first dataset with a second dataset, and determine head pose estimation(s) based on the fused first dataset and second dataset. The first dataset may be associated with sensor data generated by a set of sensors of a first device, while the second dataset may be associated with sensor data generated by a first sensor of an apparatus. For example, an apparatus may obtain the first dataset and the second dataset. Additionally, the apparatus may generate a fused dataset based on the first dataset and the second dataset, and determine a head pose estimation of a head of the user based on the fused dataset. Further, the apparatus may output the third head pose estimation.
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公开(公告)号：US20230252687A1
公开(公告)日：2023-08-10
申请号：US17668956
申请日：2022-02-10
Applicant: QUALCOMM Incorporated
Inventor： Junkang ZHANG , Zhen WANG , Lei WANG , Ning BI
Abstract: Systems and techniques are described for image processing. An imaging system receives an identity image and an attribute image. The identity image depicts a first person having an identity. The attribute image depicts a second person having an attribute, such as a facial feature, an accessory worn by the second person, and/or an expression. The imaging system uses trained machine learning model(s) to generate a combined image based on the identity image and the attribute image. The combined image depicts a virtual person having both the identity of the first person and the attribute of the second person. The imaging system outputs the combined image, for instance by displaying the combined image or sending the combined image to a receiving device. In some examples, the imaging system updates the trained machine learning model(s) based on the combined image.
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公开(公告)号：US20220343602A1
公开(公告)日：2022-10-27
申请号：US17744484
申请日：2022-05-13
Applicant: QUALCOMM Incorporated
Inventor： Ke-Li CHENG , Kuang-Man HUANG , Michel Adib SARKIS , Gerhard REITMAYR , Ning BI
Abstract: Techniques are provided for generating three-dimensional models of objects from one or more images or frames. For example, at least one frame of an object in a scene can be obtained. A portion of the object is positioned on a plane in the at least one frame. The plane can be detected in the at least one frame and, based on the detected plane, the object can be segmented from the plane in the at least one frame. A three-dimensional (3D) model of the object can be generated based on segmenting the object from the plane. A refined mesh can be generated for a portion of the 3D model corresponding to the portion of the object positioned on the plane.
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Patent Agency Ranking
公开(公告)号：US20220269879A1
公开(公告)日：2022-08-25
申请号：US17185811
申请日：2021-02-25
Applicant: QUALCOMM Incorporated
Inventor： Peng LIU , Lei WANG , Kuang-Man HUANG , Michel Adib SARKIS , Ning BI
Abstract: Systems and techniques are provided for facial expression recognition. In some examples, a system receives an image frame corresponding to a face of a person. The system also determines, based on a three-dimensional model of the face, landmark feature information associated with landmark features of the face. The system then inputs, to at least one layer of a neural network trained for facial expression recognition, the image frame and the landmark feature information. The system further determines, using the neural network, a facial expression associated with the face.
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公开(公告)号：US20220083636A1
公开(公告)日：2022-03-17
申请号：US17024498
申请日：2020-09-17
Applicant: QUALCOMM Incorporated
Inventor： Michel Adib SARKIS , Wesley James HOLLAND , Venkata Ravi Kiran DAYANA , Ning BI
Abstract: Techniques and systems are provided for processing one or more images. For example, a process can obtain a plurality of images captured during a session. The plurality of images include a current image of a current face. The process can extract features of the current face from the current image. The process can compare the extracted features of the current face to extracted features of a previous face from a previous image of the plurality of images captured during the session. The process can determine, based on comparing the extracted features of the current face to the extracted features of the previous face, whether the current face from the current image matches the previous face from the previous image. The process can determine whether to lock access to a computing device based on whether the current face from the current image matches the previous face from the previous image.
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公开(公告)号：US20200025877A1
公开(公告)日：2020-01-23
申请号：US16272991
申请日：2019-02-11
Applicant: QUALCOMM Incorporated
Inventor： Michel Adib SARKIS , Ning BI , Yingyong QI , Amichai SANDEROVICH , Evyatar HEMO
Abstract: Techniques and systems are provided for performing object verification using radar images. For example, a first radar image and a second radar image are obtained, and features are extracted from the first radar image and the second radar image. A similarity is determined between an object represented by the first radar image and an object represented by the second radar image based on the features extracted from the first radar image and the features extracted from the second radar image. A determined similarity between these two sets of features is used to determine whether the object represented by the first radar image matches the object represented by the second radar image. Distances between the features in the two radar images can optionally also be compared and used to determine object similarity. The objects in the radar images may optionally be faces.
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公开(公告)号：US20190130586A1
公开(公告)日：2019-05-02
申请号：US16159346
申请日：2018-10-12
Applicant: QUALCOMM Incorporated
Abstract: Provided are systems, methods, and computer-readable medium for maintaining blob trackers for video frames. The techniques and systems described herein identify a candidate sleeping tracker that is a false positive. In some examples, a false positive candidate sleeping tracker can be identified when an object associated with the candidate sleeping tracker was split from a previous object, and the object is within a target sleeping bounding region for the candidate sleeping tracker. The tracker for the object can be assigned a state that indicates that the blob will not continue to be tracked when the blob is detected as background. In some examples, a false positive candidate sleeping tracker can be identified when a maturity or age for the candidate sleeping tracker in insufficient.
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30.发明申请公开(公告)号：US20180342070A1
公开(公告)日：2018-11-29
申请号：US15973090
申请日：2018-05-07
Applicant: QUALCOMM Incorporated
CPC classification number: G06T7/246 , G06K9/00744 , G06K9/00771 , G06K9/03 , G06K2009/00738 , G06T7/194 , G06T7/60 , G06T7/90 , G06T2210/12
Abstract: Techniques and systems are provided for maintaining blob trackers for one or more video frames. For example, a blob tracker can be identified for a current video frame. The blob tracker is associated with a blob detected for the current video frame, and the blob includes pixels of at least a portion of one or more objects in the current video frame. One or more characteristics of the blob tracker are determined. The one or more characteristics are based on a bounding region history of the blob tracker. A confidence value is determined for the blob tracker based on the determined one or more characteristics, and a status of the blob tracker is determined based on the determined confidence value. The status of the blob tracker indicates whether to maintain the blob tracker for the one or more video frames. For example, the determined status can include a first type of blob tracker that is output as an identified blob tracker-blob pair, a second type of blob tracker that is maintained for further analysis, or a third type of blob tracker that is removed from a plurality of blob trackers maintained for the one or more video frames.
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