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Patent Agency Ranking
公开(公告)号：US20210406522A1
公开(公告)日：2021-12-30
申请号：US17118176
申请日：2020-12-10
Inventor： Keyao Wang , Haocheng Feng , Haixiao Yue
Abstract: A method and apparatus for waking up a device, an electronic device, and a storage medium are provided, which are related to fields of image processing and deep learning. The method includes: acquiring an environment image of a surrounding environment of a target device in real time, and recognizing a face region of a user in the environment image; acquiring a plurality of facial landmarks in the face region, and acquiring a left eye image and a right eye image according to the facial landmarks; acquiring a left eye sight classification result and a right eye sight classification result according to the left eye image and the right eye image; and waking up the target device in a case of determining that the user is looking at the target device according to the left eye sight classification result and the right eye sight classification result.
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公开(公告)号：US11580781B2
公开(公告)日：2023-02-14
申请号：US17118176
申请日：2020-12-10
Inventor： Keyao Wang , Haocheng Feng , Haixiao Yue
Abstract: A method and apparatus for waking up a device, an electronic device, and a storage medium are provided, which are related to fields of image processing and deep learning. The method includes: acquiring an environment image of a surrounding environment of a target device in real time, and recognizing a face region of a user in the environment image; acquiring a plurality of facial landmarks in the face region, and acquiring a left eye image and a right eye image according to the facial landmarks; acquiring a left eye sight classification result and a right eye sight classification result according to the left eye image and the right eye image; and waking up the target device in a case of determining that the user is looking at the target device according to the left eye sight classification result and the right eye sight classification result.
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公开(公告)号：US20210326617A1
公开(公告)日：2021-10-21
申请号：US17182853
申请日：2021-02-23
Inventor： Haocheng Feng , Haixiao Yue , Zhibin Hong , Keyao Wang
Abstract: A method and apparatus for spoof detection are provided. An implementation of the method includes: acquiring an original image; inputting the original image into a training-completed spoof cue extraction network, to obtain a spoof cue signal of the original image; calculating an element-wise mean value of the spoof cue signal; and generating a spoof detection result of the original image based on the element-wise mean value.
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公开(公告)号：US11881050B2
公开(公告)日：2024-01-23
申请号：US17347854
申请日：2021-06-15
Inventor： Keyao Wang , Haocheng Feng , Haixiao Yue
CPC classification number: G06V40/168 , G06N3/08 , G06T7/74 , G06V10/764 , G06V10/806 , G06V10/82 , G06V40/162 , G06V40/165 , G06V40/40 , G06V40/45 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06T2207/30201
Abstract: A method for detecting a face synthetic image, an electronic device and a storage medium are provided. The technical solution includes inputting a face image to be detected into a pre-trained convolution neural network to obtain a raw image feature of the face image; inputting the raw image feature into a first full connected layer and a second full connected layer respectively to obtain a first feature vector corresponding to a face key point of the face image and a second feature vector corresponding to the face image; merging the first feature vector and the second feature vector to obtain a merged feature vector; inputting the merged feature vector to a third full connected layer to obtain a detection result of the face image.
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公开(公告)号：US20210312162A1
公开(公告)日：2021-10-07
申请号：US17347854
申请日：2021-06-15
Inventor： Keyao Wang , Haocheng Feng , Haixiao Yue
Abstract: The present disclosure provides a method for detecting a face synthetic image, an electronic device and a storage medium. The technical solution includes inputting a face image to be detected into a pre-trained convolution neural network to obtain a raw image feature of the face image; inputting the raw image feature into a first full connected layer and a second full connected layer respectively to obtain a first feature vector corresponding to a face key point of the face image and a second feature vector corresponding to the face image; merging the first feature vector and the second feature vector to obtain a merged feature vector; inputting the merged feature vector to a third full connected layer to obtain a detection result of the face image.
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