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Patent Agency Ranking
公开(公告)号：US20210012093A1
公开(公告)日：2021-01-14
申请号：US17038208
申请日：2020-09-30
Inventor： Qiang RAO , Bing YU , Bailan FENG , Yibo HU , Xiang WU , Ran HE , Zhenan SUN
Abstract: This application provides a method and an apparatus for generating a face rotation image. The method includes: performing pose encoding on an obtained face image based on two or more landmarks in the face image, to obtain pose encoded images; obtaining a plurality of training images each including a face from a training data set, where presented rotation angles of the faces included in the plurality of training images are the same; performing pose encoding on a target face image based on two or more landmarks in the target face image in the foregoing similar manner, to obtain pose encoded images, where the target face image is obtained based on the plurality of training images; generating a to-be-input signal based on the face image and the foregoing two types of pose encoded images; and inputting the to-be-input signal into an face rotation image generative model to obtain a face rotation image.
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公开(公告)号：US20220076000A1
公开(公告)日：2022-03-10
申请号：US17530688
申请日：2021-11-19
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Yun YANG , Songjiang LI , Bing YU , Bailan FENG
Abstract: An image processing method and apparatus are provided. The image processing method includes: obtaining a face image; separately obtaining a left face image and a right face image based on the face image; inputting the left face image into a first target key point convolutional neural network model, and outputting coordinates of a first left face key point; inputting the right face image into a second target key point convolutional neural network model, and outputting coordinates of a first right face key point; and obtaining coordinates of a face key point of the face image based on the coordinates of the first left face key point and the coordinates of the first right face key point.
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公开(公告)号：US20210027094A1
公开(公告)日：2021-01-28
申请号：US17039544
申请日：2020-09-30
Inventor： Bailan FENG , Chunfeng YAO , Kaiqi HUANG , Zhang ZHANG , Xiaotang CHEN , Houjing HUANG , Dangwei LI
Abstract: Embodiments of the present invention disclose an image processing method, a related device, and a computer storage medium. The method includes: obtaining a feature intensity image corresponding to a training image, where an intensity value of a pixel in the feature intensity image is used to indicate importance of the pixel for recognizing the training image, and resolution of the training image is the same as resolution of the feature intensity image; and occluding, based on the feature intensity image, a to-be-occluded region in the training image by using a preset window, to obtain a new image, where the to-be-occluded region includes a to-be-occluded pixel, and the new image is used to update an image recognition model. According to the embodiments of the present invention, a prior-art problem that a model has low accuracy and relatively poor generalization performance because of limited training data can be resolved.
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公开(公告)号：US20200311871A1
公开(公告)日：2020-10-01
申请号：US16903667
申请日：2020-06-17
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Bing YU , Chuanxia ZHENG , Bailan FENG
Abstract: Embodiments of this application provide an image reconstruction method and device. The method includes: inputting a first image into a newly constructed super-resolution model to obtain a reconstructed second image, where a resolution of the second image is higher than that of the first image; the newly constructed super-resolution model is obtained by training an initial super-resolution model by using an error loss; the error loss includes a pixel mean square error and an image feature mean square error; and an image feature includes at least one of a texture feature, a shape feature, a spatial relationship feature, and an image high-level semantic feature. According to the embodiments of this application, quality of a reconstructed image can be improved.
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5.发明申请公开(公告)号：US20200272902A1
公开(公告)日：2020-08-27
申请号：US16809270
申请日：2020-03-04
Inventor： Bailan FENG , Chunfeng YAO , Kaiqi HUANG , Zhang ZHANG , Yang ZHOU
Abstract: The method includes: performing feature extraction on a to-be-detected image at a plurality of different abstraction degrees, to obtain a plurality of first feature maps of a pedestrian attribute; performing convolution on the plurality of first feature maps, to obtain a plurality of second feature maps; mapping each second feature map to a plurality of areas (bins) that overlap each other, and performing max pooling on each bin, to obtain a plurality of high-dimensional feature vectors, where the plurality of bins that overlap each other evenly cover each second feature map; processing the plurality of high-dimensional feature vectors into a low-dimensional vector, to obtain an identification result of the pedestrian attribute; and further obtaining a positioning result of the pedestrian attribute based on the plurality of second feature maps and the plurality of high-dimensional feature vectors.
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