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

IPC: G06T7/11 ,  G06T7/149 ,  G06T15/00 ,  G06T7/168 ,  G06V10/25 ,  G06V10/764 ,  G06V10/44 ,  G06V20/64

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.

公开(公告)号：US20230169755A1

公开(公告)日：2023-06-01

申请号：US17994659

申请日：2022-11-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Bao HE ,  Hao WANG ,  Jiyeon KIM ,  Hyun Sung CHANG ,  Qiang WANG ,  Sunghoon HONG ,  Weiming LI

IPC: G06V10/771 ,  G06T5/20 ,  G06T7/70 ,  G06V10/25 ,  G06V10/44 ,  G06V10/80

CPC classification number: G06V10/771 ,  G06T5/20 ,  G06T7/70 ,  G06V10/25 ,  G06V10/44 ,  G06V10/806

Abstract: A processor-implement method with image processing includes: generating a feature map of a first image and detecting a target region in the first image based on the feature map; correcting the detected target region; and processing an object corresponding to the target region, based on the corrected target region.

公开(公告)号：US20230154170A1

公开(公告)日：2023-05-18

申请号：US17987060

申请日：2022-11-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hao WANG ,  Weiming LI ,  Qiang WANG ,  Jiyeon KIM ,  Hyun Sung CHANG ,  Sunghoon HONG

IPC: G06V10/80 ,  G06T17/00 ,  G06T7/50 ,  G06T7/62 ,  G06T7/70

CPC classification number: G06V10/806 ,  G06T17/00 ,  G06T7/50 ,  G06T7/62 ,  G06T7/70 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20016

Abstract: A method, apparatus, electronic device, and non-transitory computer-readable storage medium with multi-modal feature fusion are provided. The method includes generating three-dimensional (3D) feature information and two-dimensional (2D) feature information based on a color image and a depth image, generating fused feature information by fusing the 3D feature information and the 2D feature information based on an attention mechanism, and generating predicted image information by performing image processing based on the fused feature information.

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

IPC: G06T7/70 ,  G06T7/10 ,  G06T7/50 ,  G06V10/25

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.

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

IPC: G06T7/73 ,  G06N3/08 ,  G06T7/11 ,  G06T7/55 ,  G06T7/60

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.

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

IPC: G06T7/149 ,  G06T7/11 ,  G06T15/00 ,  G06T7/168

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.

公开(公告)号：US20210019544A1

公开(公告)日：2021-01-21

申请号：US16739325

申请日：2020-01-10

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seungin PARK ,  Lin MA ,  Weiming LI ,  Yang LIU ,  Hao WANG ,  Hyong Euk LEE

IPC: G06K9/32 ,  G06K9/62 ,  G06K9/46 ,  G06N3/04

Abstract: An object detection method includes setting a first window region and a second window region larger than the first window region that correspond to partial regions of different sizes in an input image, downsampling the second window region to generate a resized second window region, detecting a first object candidate from the first window region and a second object candidate from the resized second window region, and detecting an object included in the input image based on one or both of the first object candidate and the second object candidate.

公开(公告)号：US20190138450A1

公开(公告)日：2019-05-09

申请号：US15900789

申请日：2018-02-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Tarun NAKRA ,  Hao WANG ,  Paul KITCHIN

IPC: G06F12/0855 ,  G06F12/0884

Abstract: According to one general aspect, an apparatus may include a first cache configured to store data. The apparatus may include a second cache configured to, in response to a fill request, supply the first cache with data, and an incoming fill signal. The apparatus may also include an execution circuit configured to, via a load request, retrieve data from the first cache. The first cache may be configured to: derive, from the incoming fill signal, address and timing information associated with the fill request, and based, at least partially, upon the address and timing information, schedule the load request to attempt to avoid a load-fill conflict.

公开(公告)号：US20180165211A1

公开(公告)日：2018-06-14

申请号：US15422442

申请日：2017-02-01

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hao WANG ,  Dilip MUTHUKRISHNAN ,  Brian C. GRAYSON

IPC: G06F12/0875 ,  G06F12/0888 ,  G06F12/0897

CPC classification number: G06F12/0875 ,  G06F12/0888 ,  G06F12/0897 ,  G06F2212/202 ,  G06F2212/502

Abstract: According to one general aspect, an apparatus may include a load/store circuit and a region size detection circuit. The load/store circuit may be configured to issue a plurality of store instructions to store data in a memory system. The region size detection circuit may be configured to determine a cache from a plurality of caches to store a stream of store instructions based upon, at least in part, by tracking multiple cache-line address entries in the plurality of store instructions, wherein each address entry is updated at a different frequency.

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

IPC: G06T7/73 ,  G06T7/11 ,  G06T7/60 ,  G06T7/20

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.