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公开(公告)号：US12002218B2
公开(公告)日：2024-06-04
申请号：US17531972
申请日：2021-11-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hyunjeong Lee , Seungwook Kim , Changbeom Park , Byung In Yoo
CPC classification number: G06T7/194 , G06F18/22 , G06T7/136 , G06T7/248 , G06V10/751 , G06T2207/10024
Abstract: A method, apparatus, and system with tracking are disclosed. The apparatus is configured to acquire a feature map of a template image, a color histogram of a foreground of the template image that has an object, and a color histogram of a background of the template image other than the foreground, acquire a feature score map, and a bounding box map corresponding to the feature score map, based on the feature map of the template image and a feature map of a search image, acquire a color score map based on the color histogram of the foreground, the color histogram of the background, and a color value of the search image, acquire a final score map, and a bounding box map corresponding to the final score map, based on the feature score map, the color score map, and the bounding box map, and output the corresponding bounding box.
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公开(公告)号：US11715216B2
公开(公告)日：2023-08-01
申请号：US17404413
申请日：2021-08-17
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Ju Hwan Song , Hyunjeong Lee , Changbeom Park , Changyong Son , Byung In Yoo
CPC classification number: G06T7/248 , G06V10/22 , G06V10/44 , G06T2207/20216
Abstract: A processor-implemented object tracking method includes: setting a suppressed region in a template image based on a shape of a target box of the template image; refining a template feature map of the template image by suppressing an influence of feature data corresponding to the suppressed region in the template feature map; and tracking an object by determining a bounding box corresponding to the target box in a search image based on the refined template feature map.
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公开(公告)号：US11694480B2
公开(公告)日：2023-07-04
申请号：US17313437
申请日：2021-05-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Solae Lee , Youngjun Kwak , Sungheon Park , Byung In Yoo , Yong-Il Lee , Hana Lee , Jiho Choi , Jaejoon Han
CPC classification number: G06V40/45 , G06T5/003 , G06T5/20 , G06V10/30 , G06V40/161 , G06T2207/20084 , G06T2207/30201
Abstract: A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.
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公开(公告)号：US11568519B2
公开(公告)日：2023-01-31
申请号：US17196084
申请日：2021-03-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Eunhee Kang , Kinam Kwon , Sujin Lee , Hyong Euk Lee , Byung In Yoo , Sangwon Lee , Jae Seok Choi
IPC: G06T5/00
Abstract: An image enhancement method, an image enhancement apparatus, and a method and apparatus for training the image enhancement apparatus are provided. The image enhancement apparatus may enhance a quality of a raw image captured by an under-display camera (UDC). The image enhancement apparatus may process the raw image for each channel according to characteristics of a photographing environment of the UDC. The image enhancement apparatus may further enhance the image by processing the raw image to reflect characteristics for each channel.
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公开(公告)号：US11508075B2
公开(公告)日：2022-11-22
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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Patent Agency Ranking
公开(公告)号：US11475312B2
公开(公告)日：2022-10-18
申请号：US16902299
申请日：2020-06-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngjun Kwak , Youngsung Kim , Byung In Yoo , Yong-Il Lee , Hana Lee , Sangil Jung
Abstract: A processor-implemented method including implementing a deep neural network (DNN) model using input data, generating, by implementing the DNN model, first output data from the DNN model, changing the DNN model, generating, by implementing the changed DNN model using the input data, second output data of the changed DNN model, and determining result data by combining the first output data and the second output data.
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公开(公告)号：US11354535B2
公开(公告)日：2022-06-07
申请号：US16856221
申请日：2020-04-23
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jiho Choi , Solae Lee , Hana Lee , Youngjun Kwak , Byung In Yoo , Yong-Il Lee
Abstract: A method with image recognition includes: extracting, using a feature extraction layer, feature data from an input image received by an image sensor; and outputting a recognition result of an object appearing in the input image, by applying a fixed mask and a variable mask to the extracted feature data, wherein the variable mask is adjusted in response to the extracted feature data.
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公开(公告)号：US11347973B2
公开(公告)日：2022-05-31
申请号：US16595774
申请日：2019-10-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seon Min Rhee , Minsu Ko , Jihye Kim , Byung In Yoo , Chang Kyu Choi , Jaejoon Han
Abstract: An apparatus for training an image generative model and an image generating apparatus are provided. The apparatus generates output images from a plurality of input images based on the generative model, extracts depth features from the respective output images based on a depth classification model, calculates a depth loss from the extracted depth features, and trains the generative model based on an overall loss that includes the calculated depth loss.
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公开(公告)号：US11347308B2
公开(公告)日：2022-05-31
申请号：US16937722
申请日：2020-07-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yongchao Liu , Hui Zhang , Xiabing Liu , Byung In Yoo , Chang Kyu Choi , Jaejoon Han , Youngjun Kwak , Tianchu Guo
Abstract: A gaze tracking method and apparatus, and a gaze tracking neural network training method and apparatus are provided. The gaze tracking apparatus includes one or more processors and a memory, and the one or more processors obtain output position information from an input face image of a user using a neural network model, determines a position adjustment parameter for the user, and predicts gaze position information of the user by adjusting the output position information based on the position adjustment parameter.
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公开(公告)号：US11256938B2
公开(公告)日：2022-02-22
申请号：US16939757
申请日：2020-07-27
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngjun Kwak , Byung In Yoo , Yong-Il Lee , Yunhao Zhang , Huxing Sun
Abstract: A method with liveness testing may include: acquiring an infrared (IR) image including an object, and a depth image including the object; generating a first preprocessed IR image by performing first edge enhancement preprocessing on the IR image; generating a preprocessed depth image by performing second edge enhancement preprocessing on the depth image; and determining whether the object is a genuine object based on the first preprocessed IR image and the preprocessed depth image.
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