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公开(公告)号：US11093734B2
公开(公告)日：2021-08-17
申请号：US16182861
申请日：2018-11-07
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngsung Kim , Youngjun Kwak , Byung In Yoo , Seohyung Lee
Abstract: A method and apparatus with emotion recognition acquires a plurality of pieces of data corresponding a plurality of inputs for each modality and corresponding to a plurality of modalities; determines a dynamics representation vector corresponding to each of the plurality of modalities based on a plurality of features for each modality extracted from the plurality of pieces of data; determines a fused representation vector based on the plurality of dynamics representation vectors corresponding to the plurality of modalities; and recognizes an emotion of a user based on the fused representation vector.
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公开(公告)号：US09697609B2
公开(公告)日：2017-07-04
申请号：US14289915
申请日：2014-05-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Won Jun Kim , Byung In Yoo , Chang Kyu Choi
CPC classification number: G06T7/75 , G06K9/00342 , G06K9/00369 , G06T2207/10016 , G06T2207/10028 , G06T2207/30196
Abstract: A method and apparatus for estimating a pose that estimates a pose of a user using a depth image is provided, the method including, recognizing a pose of a user from a depth image, and tracking the pose of the user using a user model exclusively of one another to enhance precision of estimating the pose.
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公开(公告)号：US09508152B2
公开(公告)日：2016-11-29
申请号：US14345563
申请日：2013-01-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Byung In Yoo , Chang Kyu Choi , Chang Kyo Lee , Jae Joon Han
CPC classification number: G06T7/0046 , G06K9/00201 , G06K9/00335 , G06K9/00362 , G06K9/469 , G06K9/6212 , G06K9/624 , G06K9/626 , G06K9/6282 , G06T7/75 , G06T15/06 , G06T15/08 , G06T15/20 , G06T15/40 , G06T17/005 , G06T2200/24 , G06T2207/10028 , G06T2207/20048 , G06T2207/20081 , G06T2207/30196
Abstract: An object recognition system is provided. The object recognition system for recognizing an object may include an input unit to receive, as an input, a depth image representing an object to be analyzed, and a processing unit to recognize a visible object part and a hidden object part of the object, from the depth image, by using a classification tree. The object recognition system may include a classification tree learning apparatus to generate the classification tree.
Abstract translation: 提供了一种物体识别系统。 用于识别对象的对象识别系统可以包括：输入单元，用于接收表示要分析的对象的深度图像作为输入;以及处理单元，用于识别对象的可见对象部分和隐藏对象部分， 深度图像，通过使用分类树。 对象识别系统可以包括生成分类树的分类树学习装置。
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14.发明申请APPARATUS AND METHOD OF PROCESSING DEPTH IMAGE USING RELATIVE ANGLE BETWEEN IMAGE SENSOR AND TARGET OBJECT 有权使用图像传感器和目标对象之间的相对角度处理深度图像的装置和方法公开(公告)号：US20140333722A1
公开(公告)日：2014-11-13
申请号：US14055369
申请日：2013-10-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Nam Joon KIM , Byung In Yoo , Sung Joo Suh , Chang Kyu Choi
IPC: H04N13/02
CPC classification number: H04N13/128 , G06T3/00 , G06T7/73 , G06T19/20 , G06T2207/10028 , G06T2207/30244 , G06T2219/2016
Abstract: An apparatus for processing a depth image using a relative angle between an image sensor and a target object includes an object image extractor to extract an object image from the depth image, a relative angle calculator to calculate a relative angle between an image sensor used to photograph the depth image and a target object corresponding to the object image, and an object image rotator to rotate the object image based on the relative angle and a reference angle.
Abstract translation: 用于使用图像传感器和目标对象之间的相对角度处理深度图像的装置包括从深度图像提取对象图像的对象图像提取器，用于计算用于拍摄的图像传感器之间的相对角度的相对角度计算器 所述深度图像和与所述对象图像对应的目标对象以及基于所述相对角度和参考角度旋转所述对象图像的对象图像旋转体。
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公开(公告)号：US12300038B2
公开(公告)日：2025-05-13
申请号：US18197883
申请日：2023-05-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Solae Lee , Youngjun Kwak , Sungheon Park , Byung In Yoo , Yong-Il Lee , Hana Lee , Jiho Choi , Jaejoon Han
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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Patent Agency Ranking
公开(公告)号：US12112575B2
公开(公告)日：2024-10-08
申请号：US17570711
申请日：2022-01-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Solae Lee , Youngjun Kwak , Sungheon Park , Byung In Yoo , Yong-Il Lee , Hana Lee , Jiho Choi
IPC: G06V40/40 , G06F18/21 , G06F18/25 , G06T7/00 , G06V10/147 , G06V10/50 , G06V10/764 , G06V10/80 , G06V10/82
CPC classification number: G06V40/45 , G06F18/21 , G06F18/25 , G06T7/97 , G06V10/147 , G06V10/50 , G06V10/764 , G06V10/809 , G06V10/82 , G06T2207/20084 , G06T2207/20132
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：US11997376B2
公开(公告)日：2024-05-28
申请号：US17407463
申请日：2021-08-20
Applicant: SAMSUNG ELECTRONICS CO., LTD
Inventor： Seungin Park , Jinwoo Son , Changyong Son , Byung In Yoo , Sangil Jung
Abstract: An image sensor includes: a motion detection circuit configured to detect a motion in image frames; and a micro control unit (MCU) configured to adjust at least a portion of a target frame among the image frames based on whether the motion is detected, and detect whether a target object is present based on the adjusted portion of the target frame.
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公开(公告)号：US11989931B2
公开(公告)日：2024-05-21
申请号：US17697160
申请日：2022-03-17
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sangil Jung , Seungin Park , Byung In Yoo
IPC: G06V10/80 , G06V10/40 , G06V10/764 , G06V10/77 , G06V10/82
CPC classification number: G06V10/806 , G06V10/40 , G06V10/764 , G06V10/7715 , G06V10/82
Abstract: An object classification method and apparatus are disclosed. The object classification method includes receiving an input image, storing first feature data extracted by a first feature extraction layer of a neural network configured to extract features of the input image, receiving second feature data from a second feature extraction layer which is an upper layer of the first feature extraction layer, generating merged feature data by merging the first feature data and the second feature data, and classifying an object in the input image based on the merged feature data.
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公开(公告)号：US11869272B2
公开(公告)日：2024-01-09
申请号：US16899935
申请日：2020-06-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Youngjun Kwak , Minsu Ko , Youngsung Kim , Heewon Kim , Ju Hwan Song , Byung In Yoo , Seon Min Rhee , Yong-il Lee , Jiho Choi , Seungju Han
CPC classification number: G06V40/166 , G06F21/32 , G06T7/0012 , G06T7/73 , G06V10/143 , G06V40/161 , G06V40/168 , G06V40/40 , G06T2207/10028 , G06T2207/10048 , G06T2207/30201
Abstract: A processor-implemented method includes: generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image.
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公开(公告)号：US11790541B2
公开(公告)日：2023-10-17
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
CPC classification number: G06T7/248 , G06F18/22 , G06V10/751 , H04N23/632 , G06T2200/24 , G06T2207/20084 , G06T2207/20104 , G06T2207/20132 , G06V10/759
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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