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公开(公告)号:US20210225018A1
公开(公告)日:2021-07-22
申请号:US17146752
申请日:2021-01-12
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jiaqian YU , Jingtao XU , Yiwei CHEN , Byung In YOO , Chang Kyu CHOI , Hana LEE , Jaejoon HAN , Qiang WANG
IPC: G06T7/50 , H01L27/146
Abstract: A depth estimation method and apparatus are provided. The depth estimation method includes obtaining an image from an image sensor comprising upper pixels, each comprising N sub-pixels, obtaining N sub-images respectively corresponding to the N sub-pixels from the image, obtaining a viewpoint difference between the N sub-images using a first neural network, and obtaining a depth map of the image based on the viewpoint difference using a second neural network.
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公开(公告)号:US20210224564A1
公开(公告)日:2021-07-22
申请号:US17146809
申请日:2021-01-12
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jingtao XU , Jiaqian YU , Byung In YOO , Chang Kyu CHOI , Hyunjeong LEE , Hangkai TAN , Jaejoon HAN , Qiang WANG , Yiwei CHEN
Abstract: Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.
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公开(公告)号:US20190205965A1
公开(公告)日:2019-07-04
申请号:US16161153
申请日:2018-10-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Weiming LI , Dongdong YU , Yang LIU , Qiang WANG , Minsu AHN , Sunghoon HONG , Yueying KAO , Zairan WANG , Hao WANG
CPC classification number: G06Q30/0631 , G06F16/27 , G06Q30/0643
Abstract: An apparatus for recommending a customer item identifies a purchase tendency of a customer based on an image, determines a recommended item for the customer by selecting a purchase tendency model corresponding to the purchase tendency, and provides information associated with the determined recommended item.
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24.
公开(公告)号:US20140254920A1
公开(公告)日:2014-09-11
申请号:US14199049
申请日:2014-03-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Kuanhong XU , Qiang WANG , Woo-young JANG , Ji-yeun KIM
IPC: G06T5/00
CPC classification number: G06T5/002 , G06T7/11 , G06T2207/20012
Abstract: A method of enhancing a quality of a 3 dimensional (3D) image includes classifying an input 3D image into a plurality of sub-areas based on noise characteristics of the plurality of sub-areas of the input 3D image, denoising each of the plurality of sub-areas of the input 3D image by using different denoising methods according to noise characteristics of each of the classified plurality of sub-areas and obtaining a second 3D image after the denoising, and enhancing a contrast ratio of the second 3D image after the denoising.
Abstract translation: 提高三维(3D)图像的质量的方法包括基于输入3D图像的多个子区域的噪声特性将输入3D图像分类为多个子区域,对多个子图像中的每一个进行去噪 通过使用根据分类的多个子区域中的每一个的区域的噪声特性使用不同的去噪方法并在去噪之后获得第二3D图像并且增强去噪后的第二3D图像的对比度,从而输入3D图像的子区域 。
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公开(公告)号:US20250086833A1
公开(公告)日:2025-03-13
申请号:US18825873
申请日:2024-09-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Zhihua LIU , Xiongfeng PENG , Zhitong YE , Qiang WANG , SoonYong CHO , Young Hun SUNG
Abstract: A method performed by an electronic device, the electronic device, and a storage medium are provided. The method includes obtaining a frame image of a video from a camera and inertia data of an inertial measurement unit (IMU) corresponding to the frame image and obtaining a camera position and pose of the camera, a sparse map, and a high-density map corresponding to the frame image, based on the frame image and the inertia data of the IMU.
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公开(公告)号:US20250078309A1
公开(公告)日:2025-03-06
申请号:US18950783
申请日:2024-11-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chao ZHANG , Weiming LI , Qiang WANG , Sunghoon HONG , Wooshik KIM
Abstract: An electronic device for estimating object information and generating a virtual object and a method of operating the electronic device are disclosed. The method includes obtaining an image, obtaining a class feature, a pose feature, and a relationship feature of an object included in the image, correcting each of the class feature, the pose feature, and the relationship feature using any combination of any two or more of the class feature, the pose feature, and the relationship feature of the object, and obtaining class information, pose information, and relationship information of the object based on the corrected class feature, the corrected pose feature, and the corrected relationship feature, respectively.
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公开(公告)号:US20240362818A1
公开(公告)日:2024-10-31
申请号:US18648212
申请日:2024-04-26
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jingrui SONG , Weiming LI , Qiang WANG , Soonyong CHO , Xiaoxuan YU , SUNG YOUNG HUN
IPC: G06T7/73
CPC classification number: G06T7/73
Abstract: A method of determining a pose of a target object in a query image may include: obtaining a query image; obtaining a plurality of reference images corresponding to the query image; and determining a pose of a target object based on a first semantic feature corresponding to the query image and a second semantic feature corresponding to each of the plurality of reference images.
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公开(公告)号:US20220180531A1
公开(公告)日:2022-06-09
申请号:US17541753
申请日:2021-12-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jingtao XU , Yiwei CHEN , Feng QIU , Byung In YOO , Changbeom PARK , Hyunjeong LEE , Jaejoon HAN , Qiang WANG , Jiaqian YU
Abstract: A method with object tracking includes: determining a first target tracking state by tracking a target from a first image frame with a first field of view (FoV); determining a second FoV based on the first FoV and the first target tracking state; and generating a second target tracking result by tracking a target from a second image frame with the second FoV.
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公开(公告)号:US20190251696A1
公开(公告)日:2019-08-15
申请号:US16114622
申请日:2018-08-28
Applicant: Samsung Electronics Co., Ltd.
Inventor: Guangwei WANG , Tianhao GAO , Chun WANG , GeeYoung SUNG , Hong-Seok LEE , Lin MA , Minsu AHN , Qiang WANG , Sunghoon HONG , Yun-Tae KIM , Zhihua LIU
CPC classification number: G06T7/246 , G01P15/18 , G02B27/017 , G02B2027/0174 , G02B2027/0187 , G06T7/292 , G06T7/74 , G06T19/006 , G06T2207/30244
Abstract: A method and device that estimate a pose of a device and the device are disclosed. The method may include generating inertial measurement unit (IMU) data of the device, determining a first pose of the device a first time point based on the IMU data, generating a current predicted motion state array based on the IMU data, and estimating an M-th predicted pose of the device at an M-th time point after the first time point based on the current predicted motion state array, where M denotes a natural number greater than 1.
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30.
公开(公告)号:US20180308253A1
公开(公告)日:2018-10-25
申请号:US15665222
申请日:2017-07-31
Inventor: Hyun Surk RYU , Joo Yeon WOO , Keun Joo PARK , Hyun Ku LEE , Wei Heng LIU , Dong Qing ZOU , Feng SHI , Jia LI , Qiang WANG
CPC classification number: G06T7/80 , G06K9/00711 , G06K9/209 , G06K9/78 , G06K2009/00738 , G06T7/248 , G06T7/292 , G06T2207/10016 , G06T2207/10028 , H04N5/04
Abstract: Methods and apparatuses for time alignment calibration are provided including acquiring an event-stream and video images of a target object which are simultaneously shot by a dynamic vision sensor and an assistant vision sensor, determining a key frame that reflects obvious movement of the target object from the video images, mapping effective pixel positions of the target object in the key frame and effective pixel positions of the target object in the neighboring frames according to a spatial relative relation between the dynamic vision sensor and the assistant vision sensor, determining a first target object template that covers events in a first event-stream segment from the plurality of target object templates, and using a time alignment relation of an intermediate instant of the first event-stream segment and a timestamp of a frame corresponding to the first target object template between the dynamic vision sensor and the assistant vision sensor.
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