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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：US11682240B2
公开(公告)日：2023-06-20
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
CPC classification number: G06V40/45 , G06V40/161 , G06V40/169 , G06V40/172
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：US11176392B2
公开(公告)日：2021-11-16
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
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：US10902244B2
公开(公告)日：2021-01-26
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
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：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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Patent Agency Ranking
公开(公告)号：US10552973B2
公开(公告)日：2020-02-04
申请号：US15812554
申请日：2017-11-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dongqing Zou , Feng Shi , Weiheng Liu , Deheng Qian , Hyunsurk Eric Ryu , Jia Li , Jingtao Xu , Keun Joo Park , Qiang Wang , Changwoo Shin
IPC: G06K9/00 , G06T7/593 , H04N13/128
Abstract: Exemplary embodiments provide an image vision processing method, device and equipment and relate to: determining parallax and depth information of event pixel points in a dual-camera frame image acquired by Dynamic Vision Sensors; determining multiple neighboring event pixel points of each non-event pixel point in the dual-camera frame image; determining, according to location information of each neighboring event pixel point of each non-event pixel point, depth information of the non-event pixel point; and performing processing according to the depth information of each pixel point in the dual-camera frame image. Since non-event pixel points are not required to participate in the matching of pixel points, even if it is difficult to distinguish between the non-event pixel points or the non-event pixel points are occluded, depth information of the non-event pixel points can be accurately determined according to the location information of neighboring event pixel points.
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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：US12272137B2
公开(公告)日：2025-04-08
申请号：US17537762
申请日：2021-11-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jingtao Xu , Yiwei Chen , Changbeom Park , Hyunjeong Lee , Byung In Yoo , Jaejoon Han , Qiang Wang , Jiaqian Yu
Abstract: A target object detection method and apparatus are provided. The target object detection method and apparatus are applicable to fields such as artificial intelligence, object tracking, object detection, and image processing. An object is detected from a frame image of a video including a plurality of frame images based on a target template set including one or more target templates.
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公开(公告)号：US11721131B2
公开(公告)日：2023-08-08
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
CPC classification number: G06V40/45 , G06V40/161 , G06V40/169 , G06V40/172
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：US11688105B2
公开(公告)日：2023-06-27
申请号：US17109762
申请日：2020-12-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Tianchu Guo , Youngsung Kim , Hui Zhang , Byungin Yoo , Chang Kyu Choi , Jae-Joon Han , Jingtao Xu , Deheng Qian
CPC classification number: G06T11/00 , G06F17/10 , G06T7/248 , G06V10/757 , G06V40/166 , G06V40/168 , G06V40/171 , G06V40/174 , G06T2207/30201
Abstract: A processor implemented method of processing a facial expression image, the method includes controlling a camera to capture a first facial expression image and a second facial expression image, acquiring a first expression feature of the first facial expression image, acquiring a second expression feature of the second facial expression image, generating a new expression feature dependent on differences between the acquired first expression feature and the acquired second expression feature, and adjusting a target facial expression image based on the new expression feature.
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