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公开(公告)号:US11763433B2
公开(公告)日:2023-09-19
申请号:US17094932
申请日:2020-11-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Zhihua Liu , Yamin Mao , Tianhao Gao , Hongseok Lee , Myungjae Jeon , Qiang Wang , Yuntae Kim
CPC classification number: G06T5/50 , G06F18/22 , G06N3/045 , G06N3/084 , G06T7/593 , G06T7/97 , G06T2207/10012 , G06T2207/10028 , G06T2207/20024 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221
Abstract: A depth image generation method includes obtaining a first depth image, based on a binocular image, obtaining a second depth image, using a depth camera, and obtaining a final depth image by performing image fusion on the obtained first depth image and the obtained second depth image.
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公开(公告)号:US12051221B2
公开(公告)日:2024-07-30
申请号:US17468984
申请日:2021-09-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Zhihua Liu , Yamin Mao , Hongseok Lee , Paul Oh , Qiang Wang , Yuntae Kim , Weiheng Liu
IPC: G06T7/73 , G06T3/4038 , G06T7/50
CPC classification number: G06T7/75 , G06T3/4038 , G06T7/50 , G06T2207/10028 , G06T2207/20221
Abstract: Disclosed is a pose identification method including obtaining a depth image of a target, obtaining feature information of the depth image and position information corresponding to the feature information, and obtaining a pose identification result of the target based on the feature information and the position information.
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公开(公告)号:US20210150747A1
公开(公告)日:2021-05-20
申请号:US17094932
申请日:2020-11-11
Applicant: Samsung Electronics Co., Ltd.
Inventor: Zhihua Liu , Yamin Mao , Tianhao Gao , Hongseok Lee , Myungjae Jeon , Qiang Wang , Yuntae Kim
Abstract: A depth image generation method includes obtaining a first depth image, based on a binocular image, obtaining a second depth image, using a depth camera, and obtaining a final depth image by performing image fusion on the obtained first depth image and the obtained second depth image.
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公开(公告)号:US11049275B2
公开(公告)日:2021-06-29
申请号:US16550985
申请日:2019-08-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Zhihua Liu , Leewon Hee , Lin Ma , Qiang Wang , Tianhao Gao , Yamin Mao
Abstract: A method and apparatus for outputting three-dimensional (3D) lines. The apparatus acquires a first image and a second image including lines on a road, generates, based on a first feature map acquired from the first image, a line probability map representing a probability that a pixel point of the first feature map belongs to the lines, calculates matching information of the first image and the second image based on the first feature map and a second feature map acquired from the second image, predicts depth values of the lines using the line probability map and the matching information, detects the lines based on the line probability map, generates 3D lines based on the detected lines and the depth values of the lines, and outputs the 3D lines.
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公开(公告)号:US20240320860A1
公开(公告)日:2024-09-26
申请号:US18736088
申请日:2024-06-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Zhihua LIU , Yamin Mao , Hongseok Lee , Paul Oh , Qiang Wang , Yuntae Kim , Weiheng Liu
IPC: G06T7/73 , G06T3/4038 , G06T7/50
CPC classification number: G06T7/75 , G06T3/4038 , G06T7/50 , G06T2207/10028 , G06T2207/20221
Abstract: Disclosed is a pose identification method including obtaining a depth image of a target, obtaining feature information of the depth image and position information corresponding to the feature information, and obtaining a pose identification result of the target based on the feature information and the position information.
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公开(公告)号:US11164326B2
公开(公告)日:2021-11-02
申请号:US16714963
申请日:2019-12-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Zhihua Liu , Yun-Tae Kim , Hyong Euk Lee , Lin Ma , Qiang Wang , Yamin Mao , Tianhao Gao
Abstract: Disclosed is a depth map calculation method and apparatus. The depth map calculation method includes calculating a global sparse depth map corresponding to a current frame using frames including the current frame, calculating a local dense depth map corresponding to the current frame using the current frame, extracting a non-static object region from the current frame by masking a static object region, removing the non-static object region from the global sparse depth map, and generating a global dense depth map corresponding to the current frame by merging the non-static object region-removed global sparse depth map and the local dense depth map.
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