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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：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：US20240281990A1
公开(公告)日：2024-08-22
申请号：US18172972
申请日：2023-02-22
Applicant: QUALCOMM Incorporated
Inventor： Xiaoliang BAI , Dashan GAO , Yingyong QI , Ning BI
IPC: G06T7/55
CPC classification number: G06T7/55 , G06T2207/10028 , G06T2207/30242
Abstract: Systems and techniques are provided for performing an accurate object count using monocular three-dimensional (3D) perception. In some examples, a computing device can generate a reference depth map based on a reference frame depicting a volume of interest. The computing device can generate a current depth map based on a current frame depicting the volume of interest and one or more objects. The computing device can compare the current depth map to the reference depth map to determine a respective change in depth for each of the one or more objects. The computing device can further compare the respective change in depth for each object to a threshold. The computing device can determine whether each object is located within the volume of interest based on comparing the respective change in depth for each object to the threshold.
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公开(公告)号：US20220189029A1
公开(公告)日：2022-06-16
申请号：US17124401
申请日：2020-12-16
Applicant: QUALCOMM Incorporated
Inventor： Eyasu Zemene MEQUANINT , Yingyong QI , Ning BI
Abstract: Examples are described of segmenting an image into image regions based on depicted categories of objects, and for refining the image regions semantically. For example, a system can determine that a first image region in an image depicts a first category of object. The system can generate a color distance map of the first image region that maps color distance values to each pixel in the first image region. A color distance value quantifies a difference between a color value of a pixel in the first image region and a color value of a sample pixel in a second image region in the image. The system can process the image based on a refined variant of the first image region that is refined based on the color distance map, for instance by removing pixels from the first image region whose color distances fall below a color distance threshold.
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公开(公告)号：US20230306600A1
公开(公告)日：2023-09-28
申请号：US17669040
申请日：2022-02-10
Applicant: QUALCOMM Incorporated
Inventor： Shuai ZHANG , Xiaowen YING , Jiancheng LYU , Yingyong QI
CPC classification number: G06T7/10 , G06N3/063 , G06T7/50 , G06T2207/10024 , G06T2207/20081
Abstract: Systems and techniques are provided for performing semantic image segmentation using a machine learning system (e.g., including one or more cross-attention transformer layers). For instance, a process can include generating one or more input image features for a frame of image data and generating one or more input depth features for a frame of depth data. One or more fused image features can be determined, at least in part, by fusing the one or more input depth features with the one or more input image features, using a first cross-attention transformer network. One or more segmentation masks can be generated for the frame of image data based on the one or more fused image features.
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Patent Agency Ranking
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：US20240378727A1
公开(公告)日：2024-11-14
申请号：US18316823
申请日：2023-05-12
Applicant: QUALCOMM Incorporated
Inventor： Xin LI , Jiancheng LYU , Yingyong QI
IPC: G06T7/11
Abstract: Techniques are provided for image processing. For instance, a process can include obtaining an image; extracting a first set of features at a first scale resolution; extracting a second set of features at a second scale resolution (lower than the first scale resolution); performing a self-attention transform to generate similarity scores for the second set of features; adding the similarity scores to the second set of features to generate a first feature extractor output; up-sampling the first feature extractor output to generate a second feature extractor output; adding the second feature extractor output to the first set of features to generate a third feature extractor output; receiving an instance query; performing a cross-attention transform on the instance query and the first feature extractor output to generate a set of weights; and matrix multiplying the set of weights and the third feature extractor output to generate instance masks.
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公开(公告)号：US20220164426A1
公开(公告)日：2022-05-26
申请号：US17457365
申请日：2021-12-02
Applicant: QUALCOMM Incorporated
Inventor： Eyasu Zemene MEQUANINT , Shuai ZHANG , Yingyong QI , Ning BI
Abstract: Techniques and systems are provided for authenticating a user of a device. For example, input biometric data associated with a person can be obtained. A similarity score for the input biometric data can be determined by comparing the input biometric data to a set of templates that include reference biometric data associated with the user. The similarity score can be compared to an authentication threshold. The person is authenticated as the user when the similarity score is greater than the authentication threshold. The similarity score can also be compared to a learning threshold that is greater than the authentication threshold. A new template including features of the input biometric data is saved for the user when the similarity score is less than the learning threshold and greater than the authentication threshold.
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公开(公告)号：US20240394893A1
公开(公告)日：2024-11-28
申请号：US18695794
申请日：2021-12-01
Applicant: QUALCOMM Incorporated
Inventor： Yingyong QI , Xin LI , Xiaowen YING , Shuai ZHANG
Abstract: Systems, methods, and computer-readable media are provided for performing image segmentation with depth filtering. In some examples, a method can include obtaining a frame capturing a scene: generating, based on the frame, a first segmentation map including a target segmentation mask identifying a target of interest and one or more background masks identifying one or more background regions of the frame; and generating a second segmentation map including the first segmentation map with the one or more background masks filtered out, the one or more background masks being filtered from the first segmentation map based on a depth map associated with the frame.
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公开(公告)号：US20210019541A1
公开(公告)日：2021-01-21
申请号：US16516134
申请日：2019-07-18
Applicant: QUALCOMM Incorporated
Inventor： Zhen WANG , Lei WANG , Ning BI , Yingyong QI
Abstract: Systems, methods, and computer-readable media are provided media for transferring visual attributes to images. In some examples, a system can obtain a first image associated with a user; generate a second image including image data from the first image modified to add a first visual attribute transferred from one or more images or remove a second visual attribute in the image data; compare a first set of features from the first image with a second set of features from the second image; determine, based on a comparison result, whether the first image and the second image match at least partially; and update a library of user verification images to include the second image when the first image and the second image match at least partially.
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