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公开(公告)号：EP3156938A1
公开(公告)日：2017-04-19
申请号：EP16180114.7
申请日：2016-07-19
CPC分类号： G06K9/00275 , G06K9/00241 , G06K9/00288 , G06K9/4628 , G06K9/4661 , G06K9/6262 , G06K9/6272
摘要： A training method of training an illumination compensation model includes extracting, from a training image, an albedo image of a face area, a surface normal image of the face area, and an illumination feature, the extracting being based on an illumination compensation model; generating an illumination restoration image based on the albedo image, the surface normal image, and the illumination feature; and training the illumination compensation model based on the training image and the illumination restoration image.
摘要翻译： 一种训练照度补偿模型的训练方法，包括从训练图像中提取面部区域的反照率图像，面部区域的表面法线图像和照明特征，所述提取基于照度补偿模型; 基于反照率图像，表面法线图像和照明特征来生成照明恢复图像; 并且基于训练图像和照明恢复图像来训练照明补偿模型。
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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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公开(公告)号：EP3992904A1
公开(公告)日：2022-05-04
申请号：EP21185124.1
申请日：2021-07-12
发明人： KWON, Kinam , KANG, Eunhee , LEE, Sangwon , LEE, Sujin , LEE, Hyongeuk , CHOI, Jaeseok , YOO, Byungin
IPC分类号： G06T5/00
摘要： An image restoration method includes determining degradation information indicating a degradation factor of a degraded image, tuning the degradation information based on a tuning condition, and generating a restored image corresponding to the degraded image by executing an image restoration network with the degraded image and the degradation information.
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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：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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