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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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Patent Agency Ranking
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：US11453403B2
公开(公告)日：2022-09-27
申请号：US17379475
申请日：2021-07-19
Inventor： Keyao Wang
Abstract: Provided are an abnormal driving behavior determination method and apparatus, a device, a vehicle and a medium, which relate to the field of artificial intelligence and, in particular, to the field of computer vision and in-depth learning. A specific implementation includes: determining multiple arm keypoints of an arm included in an original image of a driving user; determining an arm bending angle of the driving user according to the multiple arm keypoints; and determining whether the driving user has an abnormal driving behavior according to the arm bending angle. In the present application, the arm bending angle of the driving user is introduced for characterizing a driving pose of the driving user so that the abnormal driving behavior of the driving user is determined according to the arm bending angle, providing a new manner for determining the abnormal driving behavior.
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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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