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公开(公告)号：US20180276492A1
公开(公告)日：2018-09-27
申请号：US15926161
申请日：2018-03-20
Applicant: SAMSUNG ELECTRONICS CO., LTD
Inventor： Hao FENG , Jae-Joon HAN , Changkyu CHOI , Chao ZHANG , Jingtao XU , Yanhu SHAN , Yaozu AN
CPC classification number: G06K9/3241 , G06K9/00281 , G06K9/036 , G06K9/6257 , G06K2009/4666 , G06T3/4007 , G06T7/0002 , G06T7/73 , G06T2207/30168
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：US20180276489A1
公开(公告)日：2018-09-27
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
CPC classification number: G06K9/00906 , G06K9/00261 , G06K9/00281 , G06K9/00288 , G06K9/00899
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：US20180276455A1
公开(公告)日：2018-09-27
申请号：US15922237
申请日：2018-03-15
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yaozu AN , Jae-Joon HAN , Changkyu CHOI , Chao ZHANG , Hao FENG , Jingtao XU , Yanhu SHAN
CPC classification number: G06K9/00288 , G06K9/00221 , G06K9/00281 , G06K9/036 , G06K9/4628 , G06K9/6273 , G06T7/0002 , G06T2207/20076 , G06T2207/20081 , G06T2207/30168 , G06T2207/30201
Abstract: A processor implemented image processing method includes acquiring a facial image by performing a face detection on an image, performing a quality assessment on the facial image using a preset facial image regression model, and determining a quality level of the facial image based on the quality assessment.
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公开(公告)号：US20180276488A1
公开(公告)日：2018-09-27
申请号：US15886875
申请日：2018-02-02
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byungin YOO , Jingtao XU , Chao ZHANG , Hao FENG , Yanhu SHAN , Youngjun KWAK , Youngsung KIM , Wonsuk CHANG , Jaejoon HAN
IPC: G06K9/00
CPC classification number: G06K9/00906 , G06K9/00228 , G06K9/00275 , G06K9/00288
Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.
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公开(公告)号：US20200242424A1
公开(公告)日：2020-07-30
申请号：US16849015
申请日：2020-04-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Biao WANG , Chao ZHANG , Changkyu CHOI , Deheng QIAN , Jae-Joon HAN , Jingtao XU , Hao FENG
Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.
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Patent Agency Ranking
公开(公告)号：US20180157938A1
公开(公告)日：2018-06-07
申请号：US15825951
申请日：2017-11-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Biao WANG , Chao ZHANG , Changkyu CHOI , Deheng QIAN , Jae-Joon HAN , Jingtao XU , Hao FENG
CPC classification number: G06K9/66 , G06K9/42 , G06K9/6282 , G06N3/04 , G06N3/0445 , G06N3/0454 , G06N3/0472 , G06N3/08 , G06N3/084
Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.
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公开(公告)号：US20160210500A1
公开(公告)日：2016-07-21
申请号：US14996709
申请日：2016-01-15
Applicant: Samsung Electronics Co., Ltd.
Inventor： Xuetao FENG , Hao FENG , Hongwei ZHANG , Lujin GONG , Changkyu CHOI , Jae-Joon HAN , Sungjoo SUH , Wonjun HWANG , Biao WANG
CPC classification number: G06T15/10 , G06K9/00208 , G06K9/00281 , G06K9/6209 , G06K9/621 , G06T19/20
Abstract: A method and an apparatus for adjusting a pose in a face image are provided. The method of adjusting a pose in a face image involves detecting two-dimensional (2D) landmarks from a 2D face image, positioning three-dimensional (3D) landmarks in a 3D face model by determining an initial pose of the 3D face model based on the 2D landmarks, updating the 3D landmarks by iteratively adjusting a pose and a shape of the 3D face model, and adjusting a pose in the 2D face image based on the updated 3D landmarks.
Abstract translation: 提供了一种用于调整脸部图像中姿势的方法和装置。 调整脸部图像中的姿势的方法包括从2D面部图像检测二维（2D）界标，通过基于以下方式确定3D脸部模型的初始姿态来将三维（3D）界标定位在3D脸部模型中： 2D地标，通过迭代地调整3D脸部模型的姿态和形状来更新3D地标，以及基于更新的3D地标调整2D脸部图像中的姿势。
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公开(公告)号：US20210406569A1
公开(公告)日：2021-12-30
申请号：US17468995
申请日：2021-09-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byungin YOO , Jingtao XU , Chao ZHANG , Hao FENG , Yanhu SHAN , Youngjun KWAK , Youngsung KIM , Wonsuk CHANG , Jaejoon HAN
IPC: G06K9/00
Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.
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公开(公告)号：US20210232846A1
公开(公告)日：2021-07-29
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
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：US20200257913A1
公开(公告)日：2020-08-13
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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