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公开(公告)号:US20210150726A1
公开(公告)日:2021-05-20
申请号:US17095784
申请日:2020-11-12
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yueying KAO , Yang LIU , Hao WANG , Sunghoon HONG , Wooshik KIM , Chao ZHANG , Lin MA , Qiang WANG , Weiming LI
Abstract: An image processing apparatus and method are provided. The image processing apparatus acquires a target image including a depth image of a scene, determines three-dimensional (3D) point cloud data corresponding to the depth image based on the depth image, and extracts an object included in the scene to acquire an object extraction result based on the 3D point cloud data.
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公开(公告)号:US20220198707A1
公开(公告)日:2022-06-23
申请号:US17537729
申请日:2021-11-30
Applicant: Samsung Electronics Co., Ltd.
Inventor: Weiming LI , Jiyeon KIM , Hyun Sung CHANG , Qiang WANG , Sunghoon HONG , Yang LIU , Yueying KAO , Hao WANG
Abstract: A method with object pose estimation includes: obtaining an instance segmentation image and a normalized object coordinate space (NOCS) map by processing an input single-frame image using a deep neural network (DNN); obtaining a two-dimensional and three-dimensional (2D-3D) mapping relationship based on the instance segmentation image and the NOCS map; and determining a pose of an object instance in the input single-frame image based on the 2D-3D mapping relationship.
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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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公开(公告)号:US20220101555A1
公开(公告)日:2022-03-31
申请号:US17476920
申请日:2021-09-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Chao ZHANG , Jiyeon KIM , Yang LIU , Yueying KAO , Hao WANG , Hyun Sung CHANG , Qiang WANG , Sunghoon HONG , Weiming LI
Abstract: A method, an apparatus, an electronic device for estimating a pose of an object include determining a confidence of a depth image of an object based on a color image and the depth image of the object, estimating a pose of the object based on a three-dimensional (3D) keypoint in response to the depth image being reliable, and estimating the pose of the object based on a two-dimensional (2D) keypoint in response to the depth image being unreliable.
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公开(公告)号:US20200160616A1
公开(公告)日:2020-05-21
申请号:US16674139
申请日:2019-11-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Weiming LI , Hyong Euk LEE , Hao WANG , Seungin PARK , Qiang WANG , Yang LIU , Yueying KAO
Abstract: Provided is a method and apparatus for aligning a three-dimensional (3D) model. The 3D model alignment method includes acquiring, by a processor, at least one two-dimensional (2D) image including an object, detecting, by the processor, a feature point of the object in the at least one 2D input image using a neural network, estimating, by the processor, a 3D pose of the object in the at least one 2D input image using the neural network, retrieving, by the processor, a target 3D model based on the estimated 3D pose, and aligning, by the processor, the target 3D model and the object based on the feature point.
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公开(公告)号:US20190220993A1
公开(公告)日:2019-07-18
申请号:US16238785
申请日:2019-01-03
Applicant: Samsung Electronics Co., Ltd.
Inventor: Weiming LI , Zairan WANG , Dongdong YU , Hao WANG , Minsu AHN , Qiang WANG , Sunghoon HONG , Yang LIU , Yueying KAO
IPC: G06T7/73
CPC classification number: G06T7/73 , G06T2207/20084
Abstract: Disclosed are a pose estimation methods and apparatuses of displaying a virtual object using an estimated pose. The pose estimation method includes receiving an input image and estimating pose information of an object from the input image based on local information of the object.
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公开(公告)号:US20230230251A1
公开(公告)日:2023-07-20
申请号:US18126042
申请日:2023-03-24
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yueying KAO , Yang LIU , Hao WANG , Sunghoon HONG , Wooshik KIM , Chao ZHANG , Lin MA , Qiang WANG , Weiming LI
CPC classification number: G06T7/11 , G06T7/149 , G06T7/168 , G06T15/00 , G06V10/25 , G06V10/454 , G06V10/764 , G06V20/64 , G06T2200/04 , G06T2200/08 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , G06T2207/20108 , G06T2215/08
Abstract: An image processing apparatus and method are provided. The image processing apparatus acquires a target image including a depth image of a scene, determines three-dimensional (3D) point cloud data corresponding to the depth image based on the depth image, and extracts an object included in the scene to acquire an object extraction result based on the 3D point cloud data.
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公开(公告)号:US20220180548A1
公开(公告)日:2022-06-09
申请号:US17545333
申请日:2021-12-08
Applicant: Samsung Electronics Co., Ltd.
Inventor: Weiming LI , Jiyeon KIM , Hyun Sung CHANG , Qiang WANG , Sunghoon HONG , Yang LIU , Hao WANG , Yueying KAO
Abstract: A processor-implemented method with object pose estimation includes: determining an image feature corresponding to a point cloud of an input image; determining semantic segmentation information, instance mask information, and keypoint information of an object, based on the image feature; and estimating a pose of the object based on the semantic segmentation information, the instance mask information, and the keypoint information.
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公开(公告)号:US20190220992A1
公开(公告)日:2019-07-18
申请号:US16161243
申请日:2018-10-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Weiming LI , Yueying KAO , Dongdong YU , Hao WANG , Minsu AHN , Qiang WANG , Sunghoon HONG , Yang LIU , Zairan WANG
CPC classification number: G06T7/73 , G06N3/08 , G06T7/11 , G06T7/55 , G06T7/60 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084
Abstract: Disclosed is an object pose estimating method and apparatus. The pose estimating method includes acquiring a two-dimensional (2D) image corresponding to an object, extracting a global visual feature and a local geometric feature of the object in the 2D image, and estimating a three-dimensional (3D) pose of the object based on the global visual feature and the local geometric feature.
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