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公开(公告)号:US09767352B2
公开(公告)日:2017-09-19
申请号:US13713351
申请日:2012-12-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Byung In Yoo , Hee Seob Ryu , Chang Kyu Choi , Chang Kyo Lee , Jae Joon Han
CPC classification number: G06K9/00369
Abstract: An apparatus and method for analyzing body part association. The apparatus and method may recognize at least one body part from a user image extracted from an observed image, select at least one candidate body part based on association of the at least one body part, and output a user pose skeleton related to the user image based on the selected at least one candidate body part.
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公开(公告)号:US09449392B2
公开(公告)日:2016-09-20
申请号:US14280990
申请日:2014-05-19
Applicant: SAMSUNG ELECTRONICS CO., LTD. , IMPERIAL INNOVATIONS LTD.
Inventor: Jae Joon Han , Danhang Tang , Tae Kyun Kim , Seung Ju Han , Byung In Yoo , Chang Kyu Choi , Alykhan Tejani , Hyung Jin Chang
CPC classification number: G06T7/0046 , G06K9/00382 , G06K9/00389 , G06K9/6219 , G06K9/6256 , G06K9/6259 , G06K9/627 , G06K9/6282 , G06K2209/05 , G06T7/75 , G06T2207/10028 , G06T2207/20081 , G06T2207/30196
Abstract: An estimator training method and a pose estimating method using a depth image are disclosed, in which the estimator training method may train an estimator configured to estimate a pose of an object, based on an association between synthetic data and real data, and the pose estimating method may estimate the pose of the object using the trained estimator.
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公开(公告)号:US20140363076A1
公开(公告)日:2014-12-11
申请号:US14280990
申请日:2014-05-19
Applicant: SAMSUNG ELECTRONICS CO., LTD. , IMPERIAL COLLEGE
Inventor: Jae Joon Han , Danhang Tang , Tae Kyun Kim , Seung Ju Han , Byung In Yoo , Chang Kyu Choi , Alykhan Tejani , Hyung Jin Chang
IPC: G06K9/62
CPC classification number: G06T7/0046 , G06K9/00382 , G06K9/00389 , G06K9/6219 , G06K9/6256 , G06K9/6259 , G06K9/627 , G06K9/6282 , G06K2209/05 , G06T7/75 , G06T2207/10028 , G06T2207/20081 , G06T2207/30196
Abstract: An estimator training method and a pose estimating method using a depth image are disclosed, in which the estimator training method may train an estimator configured to estimate a pose of an object, based on an association between synthetic data and real data, and the pose estimating method may estimate the pose of the object using the trained estimator.
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公开(公告)号:US11023757B2
公开(公告)日:2021-06-01
申请号:US16268792
申请日:2019-02-06
Applicant: Samsung Electronics Co., Ltd.
Inventor: SungUn Park , Hyeongwook Yang , Tushar Balasaheb Sandhan , Jiaqian Yu , Jingtao Xu , Youngjun Kwak , Juwoan Yoo , Jae Joon Han
Abstract: Provided is a liveness verification method and device. A liveness verification device acquires a first image and a second image, and select one or more liveness models based on respective analyses of the first image and the second image, including analyses based on an object part being detected in the first image and/or the second image, and to verify, using the selected one or more liveness models, a liveness of the object based on the first image and/or the second image. The first image may be a color image and the second image may be an Infrared image.
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公开(公告)号:US10133470B2
公开(公告)日:2018-11-20
申请号:US14046017
申请日:2013-10-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jae Joon Han , Seung Ju Han , Du-Sik Park , Chang Kyu Choi
IPC: G06F3/048 , G06F3/0487 , G06F3/038
Abstract: An interfacing device for providing a user interface (UI) exploiting a multi-modality may recognize at least two modality inputs for controlling a scene, and generate scene control information based on the at least two modality inputs.
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公开(公告)号:US09524420B2
公开(公告)日:2016-12-20
申请号:US14561757
申请日:2014-12-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Sung Joo Suh , Nam Joon Kim , Hyun Jeong Lee , Jae Joon Han
CPC classification number: G06K9/00281 , G06K9/6212 , G06K9/6244 , G06K2009/4695
Abstract: A user authentication method includes extracting a facial landmark from each of a first input image and a second input image; generating a first sparse code of the facial landmark extracted from the first input image and a second sparse code of the facial landmark extracted from the second input image; and determining whether a user is to be authenticated based on the first sparse code of the first input image and the second sparse code of the second input image.
Abstract translation: 用户认证方法包括从第一输入图像和第二输入图像中的每一个提取面部界标; 生成从第一输入图像提取的面部地标的第一稀疏码和从第二输入图像提取的面部地标的第二稀疏码; 以及基于所述第一输入图像的所述第一稀疏码和所述第二输入图像的所述第二稀疏码来确定用户是否被认证。
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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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公开(公告)号:US10524004B2
公开(公告)日:2019-12-31
申请号:US15111943
申请日:2014-05-02
Applicant: Samsung Electronics Co., Ltd.
Inventor: Chang Kyo Lee , Byung In Yoo , Seung Ju Han , Jae Joon Han
IPC: H04N21/442 , H04N21/25 , H04N21/258 , G06F3/14 , G06F3/01 , H04N21/475 , G06K9/00 , H04N21/4415 , G06F16/90 , G06Q30/02
Abstract: A content recommendation method and device for recommending content to a user are disclosed. According to one embodiment, the content recommendation device extracts the features of a user from image data, audio data and the like, and can determine a recognition rate indicating the degree that is recognized as a user model predetermined according to the features of the user. The content recommendation device can determine the recommended content to be provided to the user on the basis of the determined recognition rate.
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公开(公告)号:US09870100B2
公开(公告)日:2018-01-16
申请号:US14801117
申请日:2015-07-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Kwon Ju Yi , Chang Kyu Choi , Jae Joon Han , Du-Sik Park , Woon Bae Kim , Jong Oh Kwon
CPC classification number: G06F3/0425 , G06F3/0416 , G06F2203/04106
Abstract: A multi-touch sensing apparatus using a rear view camera of an array type is provided. The multi-touch sensing apparatus may include a display panel to display an image, a sensing light source to emit light to sense a touch image which is generated by an object and displayed on a back side of the display panel, and a camera to divide and sense the touch image. The camera may be arranged in an edge of a lower side of the multi-touch sensing apparatus, or a mirror to reflect the touch image may be included in the multi-touch sensing apparatus.
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公开(公告)号:US09710068B2
公开(公告)日:2017-07-18
申请号:US14842448
申请日:2015-09-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Byung In Yoo , Chang Kyu Choi , Jae Joon Han , Du Sik Park , Hee Seob Ryu
IPC: G06T7/11 , G06F3/01 , G06F3/0481 , G06F3/0484 , G06F3/0485 , G06F3/03 , G06F3/0486 , H04N5/232
CPC classification number: G06F3/017 , G06F3/012 , G06F3/013 , G06F3/0304 , G06F3/04815 , G06F3/04845 , G06F3/0485 , G06F3/0486 , G06F2203/04806 , G06T7/11 , G06T2207/10004 , H04N5/23229
Abstract: In an apparatus and method for controlling an interface, a user interface (UI) may be controlled using information on a hand motion and a gaze of a user without separate tools such as a mouse and a keyboard. That is, the UI control method provides more intuitive, immersive, and united control of the UI. Since a region of interest (ROI) sensing the hand motion of the user is calculated using a UI object that is controlled based on the hand motion within the ROI, the user may control the UI object in the same method and feel regardless of a distance from the user to a sensor. In addition, since positions and directions of view points are adjusted based on a position and direction of the gaze, a binocular 2D/3D image based on motion parallax may be provided.
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