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公开(公告)号：US20160132718A1
公开(公告)日：2016-05-12
申请号：US14535133
申请日：2014-11-06
Applicant: Intel Corporation
Inventor： Minje Park , Hyungsoo Lee , Hongmo Je , Tae-Hoon Kim , Yeongjae Cheon , Taesup Kim
CPC classification number: G06K9/3275 , G06K9/00248
Abstract: Computer-readable storage media, computing devices and methods are discussed herein. In embodiments, a computing device may be configured to perform facial recognition based on gradient based feature extractions of images of faces. In embodiments, the computing device may be configured to determine directional matching patterns of the images from the gradient based feature extraction and may utilize these directional matching patterns in performing a facial recognition analysis of the images of faces. Other embodiments may be described and/or claimed.
Abstract translation: 本文讨论了计算机可读存储介质，计算设备和方法。 在实施例中，计算设备可以被配置为基于面部图像的基于梯度的特征提取来执行面部识别。 在实施例中，计算设备可以被配置为从基于梯度的特征提取来确定图像的方向匹配模式，并且可以在对面部图像执行面部识别分析时利用这些方向匹配模式。 可以描述和/或要求保护其他实施例。
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公开(公告)号：US20170213074A1
公开(公告)日：2017-07-27
申请号：US15008186
申请日：2016-01-27
Applicant: INTEL CORPORATION
Inventor： Hyungsoo Lee , Yeongjae Cheon , Sumin Lee , Minje Park
CPC classification number: G06K9/00288 , G06F17/30256 , G06K9/00281 , G06K9/6215
Abstract: Techniques are provided for facial recognition using decoy-based matching of facial image features. An example method may include comparing extracted facial features of an input image, provided for recognition, to facial features of each of one or more images in a gallery of known faces, to select a closest gallery image. The method may also include calculating a first distance between the input image and the selected gallery image. The method may further include comparing the facial features of the input image to facial features of each of one or more images in a set of decoy faces, to select a closest decoy image and calculating a second distance between the input image and the selected decoy image. The method may further include recognizing a match between the input image and the selected gallery image based on a comparison of the first distance and the second distance.
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公开(公告)号：US09384385B2
公开(公告)日：2016-07-05
申请号：US14535133
申请日：2014-11-06
Applicant: Intel Corporation
Inventor： Minje Park , Hyungsoo Lee , Hongmo Je , Tae-Hoon Kim , Yeongjae Cheon , Taesup Kim
CPC classification number: G06K9/3275 , G06K9/00248
Abstract: Computer-readable storage media, computing devices and methods are discussed herein. In embodiments, a computing device may be configured to perform facial recognition based on gradient based feature extractions of images of faces. In embodiments, the computing device may be configured to determine directional matching patterns of the images from the gradient based feature extraction and may utilize these directional matching patterns in performing a facial recognition analysis of the images of faces. Other embodiments may be described and/or claimed.
Abstract translation: 本文讨论了计算机可读存储介质，计算设备和方法。 在实施例中，计算设备可以被配置为基于面部图像的基于梯度的特征提取来执行面部识别。 在实施例中，计算设备可以被配置为从基于梯度的特征提取来确定图像的方向匹配模式，并且可以在对面部图像执行面部识别分析时利用这些方向匹配模式。 可以描述和/或要求保护其他实施例。
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公开(公告)号：US09977950B2
公开(公告)日：2018-05-22
申请号：US15008186
申请日：2016-01-27
Applicant: INTEL CORPORATION
Inventor： Hyungsoo Lee , Yeongjae Cheon , Sumin Lee , Minje Park
CPC classification number: G06K9/00288 , G06F17/30256 , G06K9/00281 , G06K9/6215
Abstract: Techniques are provided for facial recognition using decoy-based matching of facial image features. An example method may include comparing extracted facial features of an input image, provided for recognition, to facial features of each of one or more images in a gallery of known faces, to select a closest gallery image. The method may also include calculating a first distance between the input image and the selected gallery image. The method may further include comparing the facial features of the input image to facial features of each of one or more images in a set of decoy faces, to select a closest decoy image and calculating a second distance between the input image and the selected decoy image. The method may further include recognizing a match between the input image and the selected gallery image based on a comparison of the first distance and the second distance.
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