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公开(公告)号：US20250157230A1
公开(公告)日：2025-05-15
申请号：US18635249
申请日：2024-04-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dongwook LEE , Chanho EOM , Byung In YOO , Hyunjeong LEE
Abstract: A method for (3D) object detection includes: receiving an input image with respect to a 3D space, an input point cloud with respect to the 3D space, and an input language with respect to a target object in the 3D space; using an encoding model to generate candidate image features of partial areas of the input image, a point cloud feature of the input point cloud, and a linguistic feature of the input language; selecting a target image feature corresponding to the linguistic feature from among the candidate image features based on similarity scores of similarities between the candidate image features and the linguistic feature; generating a decoding output by executing a multi-modal decoding model based on the target image feature and the point cloud feature; and detecting a 3D bounding box corresponding to the target object by executing an object detection model based on the decoding output.
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公开(公告)号：US20240242365A1
公开(公告)日：2024-07-18
申请号：US18415839
申请日：2024-01-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Yi ZHOU , Seungin PARK , Byung In YOO , Sangil JUNG , Hui ZHANG
CPC classification number: G06T7/50 , G06V10/44 , G06V10/761 , G06V10/806
Abstract: A processor-implemented method including generating a depth-aware feature of an image dependent on image features extracted from image data of the image and generating image data, representing information corresponding to one or more segmentations of the image, based on the depth-aware feature and a depth-aware representation, the depth-aware representation being depth-related information and visual-related information for the image.
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公开(公告)号：US20220301188A1
公开(公告)日：2022-09-22
申请号：US17385455
申请日：2021-07-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jonghoon YOON , Dongwook LEE , Changyong SON , Byung In YOO , Seohyung LEE
Abstract: A processor-implemented method of tracking a target object includes: extracting a feature from frames of an input image; selecting one a neural network model from among a plurality of neural network models that is provided in advance based on a feature value range, based on a feature value of a target object that is included in the feature of a previous frame among the frames; and generating a bounding box of the target object included in a current frame among the frames, based on the selected neural network model.
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公开(公告)号：US20220292635A1
公开(公告)日：2022-09-15
申请号：US17402906
申请日：2021-08-16
Applicant: Samsung Electronics Co., Ltd. , Industry-Academic Cooperation Foundation, Yonsei University
Inventor： Nahyup KANG , Seon Joo KIM , DongYoung KIM , JinWoo KIM , Yeonkyung LEE , Byung In YOO , Hyong Euk LEE
Abstract: A method and apparatus with image correction is provided. A processor-implemented method includes generating, using a neural network model provided an input image, an illumination map including illumination values dependent on respective color casts by one or more illuminants individually affecting each pixel of the input image, and generating a white-adjusted image by removing at least a portion of the color casts from the input image using the generated illumination map.
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公开(公告)号：US20220189031A1
公开(公告)日：2022-06-16
申请号：US17547767
申请日：2021-12-10
Applicant: Samsung Electronics Co., Ltd.
Inventor： Pingjun LI , Yi ZHOU , Byung In YOO , Hana LEE , Hui ZHANG
Abstract: A processor-implemented method includes: determining a probability that a pixel of an input image belongs to each of a plurality of preset categories; and determining a category of the pixel to be a category corresponding to either one or both of a plurality of category areas and a category determined based on the probability that the pixel belongs to each of the preset categories, based on a result of comparing, to a preset threshold value, a probability that the pixel belongs to the category corresponding to the category areas.
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Patent Agency Ranking
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：US20210326616A1
公开(公告)日：2021-10-21
申请号：US17022451
申请日：2020-09-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hana LEE , Youngjun KWAK , Sungheon PARK , Hyeongwook YANG , Byung In YOO , Juwoan YOO , Solae LEE , Yong-Il LEE , Jiho CHOI
Abstract: Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.
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公开(公告)号：US20210295534A1
公开(公告)日：2021-09-23
申请号：US17027756
申请日：2020-09-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sung Kwang CHO , Changbeom PARK , Byung In YOO , Hyunjeong LEE , Jaejoon HAN
Abstract: Disclosed are target tracking methods and apparatuses. The target tracking apparatus performs target tracking on an input image obtained in a first time period within a single time frame, using a light neural network in a second time period of the single time frame. The target tracking apparatus may perform target tracking on input images generated within the same time frame.
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公开(公告)号：US20210264182A1
公开(公告)日：2021-08-26
申请号：US17017118
申请日：2020-09-10
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Solae LEE , Youngjun KWAK , Sungheon PARK , Byung In YOO , Yong-Il LEE , Hana LEE , Jiho CHOI
Abstract: A method and apparatus for detecting a liveness based on a phase difference are provided. The method includes generating a first phase image based on first visual information of a first phase, generating a second phase image based on second visual information of a second phase, generating a minimum map based on a disparity between the first phase image and the second phase image, and detecting a liveness based on the minimum map.
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公开(公告)号：US20160350610A1
公开(公告)日：2016-12-01
申请号：US15234457
申请日：2016-08-11
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byung In YOO , Won Jun KIM , Jae Joon HAN
Abstract: A user recognition method includes extracting a user feature of a current user from input data, estimating an identifier of the current user based on the extracted user feature, and generating the identifier of the current user in response to an absence of an identifier corresponding to the current user and controlling an updating of user data based on the generated identifier and the extracted user feature.
Abstract translation: 用户识别方法包括从输入数据提取当前用户的用户特征，基于所提取的用户特征估计当前用户的标识符，以及响应于不存在对应于所述用户特征的标识符，生成当前用户的标识符 基于生成的标识符和所提取的用户特征来控制用户数据的更新。
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