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公开(公告)号：US20230007964A1
公开(公告)日：2023-01-12
申请号：US17679492
申请日：2022-02-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： Dongwon JANG , Dokwan OH
IPC: H04N1/60
Abstract: A method with image transformation includes: identifying an original image; and determining a transformed image by inputting the original image to a neural network model configured to transform a color of the original image, wherein the neural network model comprises an operation block configured to perform white balancing on the original image, a correction block configured to correct a color of an output image of the operation block, and a mapping block configured to apply a lookup table to an output image of the correction block.
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公开(公告)号：US20190205663A1
公开(公告)日：2019-07-04
申请号：US16166504
申请日：2018-10-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Dae Hyun JI , Dokwan OH , Jahoo KOO , Dongwook LEE , Wonju LEE , Jaewoo LEE , Cheolhun JANG , Yoonsuk HYUN
CPC classification number: G06K9/00798 , G01S19/07 , G05D1/0212 , G06K9/3241
Abstract: Disclosed is a method and apparatus that includes acquiring a driving image; acquiring positioning information indicating a location of a vehicle; extracting map information corresponding to the positioning information; determining a regression line function corresponding to a road on which the vehicle is traveling based on the map information; detecting the linearity of the road from the driving image using the regression line function; and indicating the detected linearity.
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公开(公告)号：US20180060675A1
公开(公告)日：2018-03-01
申请号：US15472517
申请日：2017-03-29
Applicant: Samsung Electronics Co., Ltd.
Inventor： Dae Hyun JI , Dokwan OH , Dongwook LEE , Jaewoo LEE , Cheolhun JANG
CPC classification number: G06K9/00791 , G01C21/26 , G01S19/42 , G05D1/0246 , G06K9/2027 , H04N5/2351 , H04N5/2355 , H04N5/238
Abstract: A method and apparatus for controlling a vision sensor are provided. The apparatus and corresponding method are configured to predict an expected point, on a traveling path of a host vehicle, at which an illumination variation greater than or equal to a threshold is expected to occur, and determine whether the host vehicle is located within a threshold distance. The apparatus and corresponding method are also configured to control a vision sensor in the host vehicle based on the expected illumination variation in response to the host vehicle being located within the threshold distance.
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公开(公告)号：US20140200433A1
公开(公告)日：2014-07-17
申请号：US14031093
申请日：2013-09-19
Inventor： Choong Hwan CHOI , Yong-man RO , Dokwan OH , Dae-hoe KIM , Jae-young CHOI , Woosup HAN
IPC: A61B5/00
CPC classification number: A61B5/4887 , A61B5/004 , G06K9/4604 , G06K9/6292 , G06K2009/4666 , G06T7/0012 , G06T2207/10072 , G06T2207/10116 , G06T2207/10132 , G06T2207/30068
Abstract: An apparatus for estimating a malignant tumor includes: a segmentor configured to segment a first medical image of an object into a first ROI including a mass and a second medical image of the object into a second ROI including a mass; an interest region determiner configured to acquire a first matched ROI and a second matched ROI, which is matched to the first matched ROI based on location information of the first ROI and the second ROI, respectively; a feature extractor configured to extract a similar feature indicating a degree of similarity between the first matched ROI and the second matched ROI, from the first matched ROI and the second matched ROI; and a classifier configured to generate malignant tumor information indicating whether the mass included in the first matched ROI and the second matched ROI is the malignant tumor, based on the extracted similar feature.
Abstract translation: 用于估计恶性肿瘤的装置包括：分割器，被配置为将物体的第一医学图像分割成包括物体的质量和第二医学图像的第一ROI，包括质量的第二ROI; 感兴趣区域确定器，其被配置为分别基于所述第一ROI和所述第二ROI的位置信息来获取与所述第一匹配ROI匹配的第一匹配ROI和第二匹配ROI; 特征提取器，被配置为从所述第一匹配ROI和所述第二匹配ROI中提取指示所述第一匹配ROI和所述第二匹配ROI之间的相似度的类似特征; 以及分类器，其被配置为基于所提取的相似特征，生成指示包括在所述第一匹配ROI和所述第二匹配ROI中的质量是否为恶性肿瘤的恶性肿瘤信息。
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公开(公告)号：US20250061552A1
公开(公告)日：2025-02-20
申请号：US18934744
申请日：2024-11-01
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sujin JANG , Joohan NA , Dokwan OH
Abstract: A processor-implemented method with data processing using a neural network includes: determining a first translated image by translating a first image based on a second image, the first image and a second image that having different distortions, such that a distortion of the first image corresponds to a distortion of the second image; determining a first retranslated image by translating the first translated image such that a distortion of the first translated image corresponds to a distortion of the first image; and training a first deformation field generator configured to determine a first relative deformation field that represents a relative deformation from the first image to the second image and a second deformation field generator configured to determine a second relative deformation field that represents a relative deformation from the second image to the first image, based on a loss between the first retranslated image and the first image.
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Patent Agency Ranking
公开(公告)号：US20240244208A1
公开(公告)日：2024-07-18
申请号：US18343916
申请日：2023-06-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seungeon KIM , Wonhee LEE , Kyungboo JUNG , Woosuk CHOI , Young Hun SUNG , Dokwan OH
Abstract: An apparatus with video processing includes: one or more processors configured to: generate a syntax element processable by a target standard codec by inputting a quantization parameter, a pre-decoded reference image, and a plurality of frames comprised in a video to a neural network and compressing the plurality of frames, and generate a bitstream by performing entropy encoding on the syntax element.
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公开(公告)号：US20240144452A1
公开(公告)日：2024-05-02
申请号：US18303930
申请日：2023-04-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaewook YOO , Youngwan SEO , Dokwan OH , Dasol HAN
CPC classification number: G06T7/0002 , B60W50/14 , B60W60/0053 , G06T7/70 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
Abstract: An electronic device and method for detecting contamination of a camera lens, where the electronic device includes at least one camera configured to capture an image, a memory configured to store the image, and a contamination detection model configured to detect a contaminated portion of a lens of the at least one camera, in response to the image being input, and a processor configured to determine whether an operation of the electronic device is hindered by the contaminated portion, in response to the contamination detection model detecting the contaminated portion in the lens of the at least one camera.
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18.发明申请公开(公告)号：US20220383623A1
公开(公告)日：2022-12-01
申请号：US17696354
申请日：2022-03-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jaewook YOO , Dokwan OH , Dasol HAN
IPC: G06V10/776 , G06V10/82 , G06V10/77 , G06V10/764
Abstract: Disclosed are a method and apparatus for training a neural network model to increase performance of the neural network model, the method including receiving input data and target data, pooling, by a neural network model, on a feature map extracted from the input data based on a probability for each of classes of the feature map, generating output data by inputting the input data to a neural network model, determining a loss based on comparing the output data and the target data and an auxiliary loss of the pooling, and training the neural network model based on the loss.
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公开(公告)号：US20220366548A1
公开(公告)日：2022-11-17
申请号：US17575002
申请日：2022-01-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sujin JANG , Joohan NA , Dokwan OH
Abstract: A processor-implemented method with data processing using a neural network includes: determining a first translated image by translating a first image based on a second image, the first image and a second image that having different distortions, such that a distortion of the first image corresponds to a distortion of the second image; determining a first retranslated image by translating the first translated image such that a distortion of the first translated image corresponds to a distortion of the first image; and training a first deformation field generator configured to determine a first relative deformation field that represents a relative deformation from the first image to the second image and a second deformation field generator configured to determine a second relative deformation field that represents a relative deformation from the second image to the first image, based on a loss between the first retranslated image and the first image.
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公开(公告)号：US20190037118A1
公开(公告)日：2019-01-31
申请号：US15805741
申请日：2017-11-07
Applicant: Samsung Electronics Co., Ltd.
Inventor： Dokwan OH
Abstract: A method of obtaining an image from an image sensor provided in a vehicle includes obtaining a vehicle speed of the vehicle; adjusting a shutter speed of the image sensor; adjusting either one or both of an international organization for standardization sensitivity (ISO) of the image sensor and an aperture of the image sensor based on the vehicle speed; and obtaining the image from the image sensor based on the adjusted shutter speed and the adjusted either one or both of the ISO and the aperture.
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