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公开(公告)号：US10679083B2
公开(公告)日：2020-06-09
申请号：US15921740
申请日：2018-03-15
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jingtao Xu , ByungIn Yoo , Jae-Joon Han , Chao Zhang , Hao Feng , Yanhu Shan , Yaozu An , Changkyu Choi
IPC: G06K9/00
Abstract: Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.
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公开(公告)号：US10528846B2
公开(公告)日：2020-01-07
申请号：US15795677
申请日：2017-10-27
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngsung Kim , Byungin Yoo , Deheng Qian , Hui Zhang , Chang Kyu Choi , He Zheng , Jae-Joon Han , Jingtao Xu , Tianchu Guo
Abstract: A method to analyze a facial image includes: inputting a facial image to a residual network including residual blocks that are sequentially combined and arranged in a direction from an input to an output; processing the facial image using the residual network; and acquiring an analysis map from an output of an N-th residual block among the residual blocks using a residual deconvolution network, wherein the residual network transfers the output of the N-th residual block to the residual deconvolution network, and N is a natural number that is less than a number of all of the residual blocks, and wherein the residual deconvolution network includes residual deconvolution blocks that are sequentially combined, and the residual deconvolution blocks correspond to respective residual blocks from a first residual block among the residual blocks to the N-th residual block.
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公开(公告)号：US11908117B2
公开(公告)日：2024-02-20
申请号：US17227704
申请日：2021-04-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hao Feng , Jae-Joon Han , Changkyu Choi , Chao Zhang , Jingtao Xu , Yanhu Shan , Yaozu An
IPC: G06T7/00 , G06T7/73 , G06V10/20 , G06V10/98 , G06V40/16 , G06F18/214 , G06V10/774 , G06V10/46
CPC classification number: G06T7/0002 , G06F18/2148 , G06T3/4007 , G06T7/73 , G06V10/255 , G06V10/7747 , G06V10/993 , G06V40/171 , G06T2207/30168 , G06V10/467
Abstract: An image processing method implemented by a processor includes receiving an image, acquiring a target image that includes an object from the image, calculating an evaluation score by evaluating a quality of the target image, and detecting the object from the target image based on the evaluation score.
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公开(公告)号：US11138455B2
公开(公告)日：2021-10-05
申请号：US16861497
申请日：2020-04-29
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jingtao Xu , ByungIn Yoo , Jae-Joon Han , Chao Zhang , Hao Feng , Yanhu Shan , Yaozu An , Changkyu Choi
IPC: G06K9/00
Abstract: Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.
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公开(公告)号：US11113842B2
公开(公告)日：2021-09-07
申请号：US16722221
申请日：2019-12-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Xiabing Liu , Hui Zhang , Jae-Joon Han , Changkyu Choi , Tianchu Guo
IPC: G06T7/73
Abstract: A gaze estimation method and apparatus is disclosed. The gaze estimation method includes obtaining an image including an eye region of a user, extracting, from the obtained image, a first feature of data, obtaining a second feature of data used for calibration of a neural network model, and estimating a gaze of the user using the first feature and the second feature.
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Patent Agency Ranking
公开(公告)号：US10963676B2
公开(公告)日：2021-03-30
申请号：US15842190
申请日：2017-12-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Biao Wang , Bing Yu , Chang Kyu Choi , Deheng Qian , Jae-Joon Han , Jingtao Xu , Yaozu An
Abstract: An image processing apparatus, includes an image classifier configured to determine whether an input image is a low-quality image or a high-quality image; and an image evaluator configured to determine a first predetermined number of clearest images from a plurality of low-quality images determined by the image classifier.
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公开(公告)号：US10860841B2
公开(公告)日：2020-12-08
申请号：US15837877
申请日：2017-12-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Tianchu Guo , Youngsung Kim , Hui Zhang , Byungin Yoo , Chang Kyu Choi , Jae-Joon Han , Jingtao Xu , Deheng Qian
Abstract: A processor implemented method of processing a facial expression image, the method includes acquiring an expression feature of each of at least two reference facial expression images; generating a new expression feature based on an interpolation value of the expression feature; and adjusting a target facial expression image based on the new expression feature and creating a new facial expression image.
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公开(公告)号：US10726244B2
公开(公告)日：2020-07-28
申请号：US15833224
申请日：2017-12-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jingtao Xu , Biao Wang , Yaozu An , ByungIn Yoo , Changkyu Choi , Deheng Qian , Jae-Joon Han
Abstract: A method of detecting a target includes determining a quality type of a target image captured using a camera, determining a convolutional neural network of a quality type corresponding to the quality type of the target image in a database comprising convolutional neural networks, determining a detection value of the target image based on the convolutional neural network of the corresponding quality type, and determining whether a target in the target image is a true target based on the detection value of the target image.
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公开(公告)号：US10452977B2
公开(公告)日：2019-10-22
申请号：US15655203
申请日：2017-07-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Changyong Son , Jinwoo Son , Byungin Yoo , Chang Kyu Choi , Jae-Joon Han
Abstract: A lightened neural network, method, and apparatus, and recognition method and apparatus implementing the same. A neural network includes a plurality of layers each comprising neurons and plural synapses connecting neurons included in neighboring layers. Synaptic weights with values greater than zero and less than a preset value of a variable a, which is greater than zero, may be at least partially set to zero. Synaptic weights with values greater than a preset value of a variable b, which is greater than zero, may be at least partially set to the preset value of the variable b.
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公开(公告)号：US10326972B2
公开(公告)日：2019-06-18
申请号：US14977282
申请日：2015-12-21
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yongjie Zhang , Hui Zhang , Fei Duan , Haoxing Wang , Jae-Joon Han , Jung-Bae Kim , Seonmin Rhee , Gengyu Ma
IPC: H04N13/02 , G06T7/55 , H04N13/261 , H04N13/00
Abstract: A method and apparatus of generating a three-dimensional (3D) image are provided. The method of generating a 3D image involves acquiring a plurality of images of a 3D object with a camera, calculating pose information of the plurality of images based on pose data for each of the plurality of images measured by an inertial measurement unit, and generating a 3D image corresponding to the 3D object based on the pose information.
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