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公开(公告)号：EP3312766A2
公开(公告)日：2018-04-25
申请号：EP17194781.5
申请日：2017-10-04
发明人： KIM, Youngsung , YOO, Byungin , KWAK, Youngjun , CHOI, Chang Kyu
IPC分类号： G06K9/00
CPC分类号： G06K9/00302 , G06K9/00 , G06K9/00228 , G06K9/00268 , G06K9/00308 , G06K9/624
摘要： A method and apparatus for recognizing a facial expression is provided. The method of recognizing the facial expression includes extracting a feature from an input image, extracting a feature from a reference image, and recognizing a user facial expression based on a difference between the feature of the input image and the feature of the reference image.
摘要翻译： 提供了用于识别面部表情的方法和设备。 识别面部表情的方法包括：从输入图像中提取特征，从参考图像中提取特征，以及基于输入图像的特征与参考图像的特征之间的差异来识别用户面部表情。
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公开(公告)号：EP3822864A1
公开(公告)日：2021-05-19
申请号：EP20204519.1
申请日：2020-10-29
发明人： KWAK, Youngjun , KIM, Youngsung , YOO, Byung In , LEE, Yong-Il , LEE, Hana , JUNG, Sangil
摘要： A processor-implemented method including implementing a deep neural network (DNN) model using input data, generating, by implementing the DNN model, first output data from the DNN model, changing the DNN model, generating, by implementing the changed DNN model using the input data, second output data of the changed DNN model, and determining result data by combining the first output data and the second output data.
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公开(公告)号：EP3312766A3
公开(公告)日：2018-08-22
申请号：EP17194781.5
申请日：2017-10-04
发明人： KIM, Youngsung , YOO, Byungin , KWAK, Youngjun , CHOI, Chang Kyu
IPC分类号： G06K9/00
CPC分类号： G06K9/00302 , G06K9/00 , G06K9/00228 , G06K9/00268 , G06K9/00308 , G06K9/624
摘要： A method and apparatus for recognizing a facial expression is provided. The method of recognizing the facial expression includes extracting a feature from an input image, extracting a feature from a reference image, and recognizing a user facial expression based on a difference between the feature of the input image and the feature of the reference image.
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4.发明公开
公开(公告)号：EP3190544A1
公开(公告)日：2017-07-12
申请号：EP16204205.5
申请日：2016-12-15
发明人： KIM, Youngsung , KIM, Kyuhong , KIM, Hyungsuk , SUH, Sungjoo , CHOI, Chang Kyu
CPC分类号： G06K9/00087 , G06F21/32 , G06K9/00013 , G06K9/00067 , G06K9/036
摘要： Authentication methods and apparatuses are disclosed. An authentication method may include generating a quality profile of an authentication image, and determining an effective region in the authentication image based on the generated quality profile.
摘要翻译： 公开了认证方法和装置。 认证方法可以包括生成认证图像的质量简档，并且基于生成的质量简档来确定认证图像中的有效区域。
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公开(公告)号：EP3422250A1
公开(公告)日：2019-01-02
申请号：EP18165194.4
申请日：2018-03-29
发明人： YOO, Byungin , KWAK, Youngjun , KIM, Youngsung , HAN, Jaejoon
摘要： Disclosed is a facial verification apparatus and method. The facial verification apparatus is configured to detect a face area of a user from an obtained input image, generate a plurality of different image patches, each image patch including a respective portion of the detected face area, based on a consideration of an image patch set determination criterion with respect to the detected face area, extract a feature value corresponding to a face of the user based on an image patch set including the generated plurality of image patches, determine whether a facial verification is successful based on the extracted feature value, and indicate a result of the determination of whether the facial verification is successful.
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公开(公告)号：EP3382598A2
公开(公告)日：2018-10-03
申请号：EP18163142.5
申请日：2018-03-21
发明人： YOO, Byungin , XU, Jingtao , ZHANG, Chao , FENG, Hao , SHAN, Yanhu , KWAK, Youngjun , KIM, Youngsung , CHANG, Wonsuk , HAN, Jaejoon
IPC分类号： G06K9/00
CPC分类号： G06K9/00906 , G06K9/00228 , G06K9/00275 , G06K9/00288
摘要： A liveness test method and apparatus are disclosed. The liveness test method comprises 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 at least one of the first liveness value, the second liveness value, and the third liveness value.
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