公开(公告)号：US10043308B2

公开(公告)日：2018-08-07

申请号：US15296138

申请日：2016-10-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Wei Zhang ,  Chunjing Xu ,  Jianzhuang Liu

IPC: G06F7/533 ,  G06T17/10 ,  G06T7/12 ,  G06T7/149 ,  G06T17/00 ,  G06T7/13

Abstract: An image processing method and apparatus are disclosed. The method includes obtaining a two-dimensional target face image, receiving an identification curve marked by a user in the target face image, locating a facial contour curve of a face from the target face image according to the identification curve and by using an image segmentation technology, determining a three-dimensional posture and a feature point position of the face in the target face image, and constructing a three-dimensional shape of the face in the target face image according to the facial contour curve, the three-dimensional posture, and the feature point position of the face in the target face image by using a preset empirical model of a three-dimensional face shape and a target function matching the empirical model of the three-dimensional face shape.

公开(公告)号：US20170154213A1

公开(公告)日：2017-06-01

申请号：US15289450

申请日：2016-10-10

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xiao Chu ,  Wanli Ouyang ,  Xiaogang Wang ,  Wei Li ,  Jianzhuang Liu

IPC: G06K9/00 ,  G06K9/66 ,  G06K9/62

CPC classification number: G06K9/00375 ,  G06K9/00335 ,  G06K9/4628 ,  G06K9/6202 ,  G06K9/6215 ,  G06K9/66

Abstract: A body relationship estimation method and apparatus are disclosed. The method includes obtaining a target picture, calculating a first body relationship feature of two persons according to at least one of first location information of a body part of each person of the two persons in the target picture or second location information of body parts of the two persons, where the first location information is obtained by performing single-person gesture estimation on each person, and the second location information is obtained by performing two-person joint gesture estimation on the two persons when the first location information indicates that the body parts of the two persons overlap, and determining a body relationship between the two persons according to the first body relationship feature.

公开(公告)号：US11704938B2

公开(公告)日：2023-07-18

申请号：US17846533

申请日：2022-06-22

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yu Qiao ,  Lei Zhou ,  Yali Wang ,  Lihui Jiang ,  Jianzhuang Liu

IPC: G06K9/62 ,  G06V40/20 ,  G06V10/40 ,  G06V20/40 ,  G06V10/62 ,  G06V10/72 ,  G06V10/77 ,  G06V10/74 ,  G06F18/24 ,  G06F18/21 ,  G06F18/22 ,  G06F18/213 ,  G06V10/82

CPC classification number: G06V40/20 ,  G06F18/21 ,  G06F18/213 ,  G06F18/22 ,  G06F18/24 ,  G06V10/40 ,  G06V10/62 ,  G06V10/72 ,  G06V10/761 ,  G06V10/7715 ,  G06V10/82 ,  G06V20/41 ,  G06V20/46

Abstract: An action recognition method and apparatus related to artificial intelligence and include extracting a spatial feature of a to-be-processed picture, determining a virtual optical flow feature of the to-be-processed picture based on the spatial feature and X spatial features and X optical flow features in a preset feature library, where the X spatial features and the X optical flow features include a one-to-one correspondence, determining a first type of confidence of the to-be-processed picture in different action categories based on similarities between the virtual optical flow feature and Y optical flow features, where each of the Y optical flow features in the preset feature library corresponds to one action category, X and Y are both integers greater than 1, and determining an action category of the to-be-processed picture based on the first type of confidence.

公开(公告)号：US20220391645A1

公开(公告)日：2022-12-08

申请号：US17846533

申请日：2022-06-22

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yu Qiao ,  Lei Zhou ,  Yali Wang ,  Lihui Jiang ,  Jianzhuang Liu

IPC: G06K9/62 ,  G06V10/40 ,  G06V20/40 ,  G06V10/62 ,  G06V10/72 ,  G06V10/77 ,  G06V10/74

Abstract: An action recognition method and apparatus related to artificial intelligence and include extracting a spatial feature of a to-be-processed picture, determining a virtual optical flow feature of the to-be-processed picture based on the spatial feature and X spatial features and X optical flow features in a preset feature library, where the X spatial features and the X optical flow features include a one-to-one correspondence, determining a first type of confidence of the to-be-processed picture in different action categories based on similarities between the virtual optical flow feature and Y optical flow features, where each of the Y optical flow features in the preset feature library corresponds to one action category, X and Y are both integers greater than 1, and determining an action category of the to-be-processed picture based on the first type of confidence.

公开(公告)号：US20220245926A1

公开(公告)日：2022-08-04

申请号：US17668101

申请日：2022-02-09

Applicant: Huawei Technologies Co., Ltd.

Inventor： Fei Huang ,  Xiaofei Wu ,  Zhihao Li ,  Songcen Xu ,  Jianzhuang Liu ,  Youliang Yan ,  Li Qian ,  Xueyan Huang

IPC: G06V10/74 ,  G06V10/40

Abstract: A method for optimizing a photographing pose of a user, where the method is applied to an electronic device, and the method includes: displaying a photographing interface of a camera of the electronic device; obtaining a to-be-taken image in the photographing interface; determining, based on the to-be-taken image, that the photographing interface includes a portrait; entering a pose recommendation mode; and presenting a recommended human pose picture to a user in a predetermined preview manner, where the human pose picture is at least one picture that is selected from a picture library through metric learning and that has a top-ranked similarity to the to-be-taken image, and where the similarity is an overall similarity obtained by fusing a background similarity and a foreground similarity.

公开(公告)号：US20220012533A1

公开(公告)日：2022-01-13

申请号：US17484545

申请日：2021-09-24

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jun Yue ,  Jianzhuang Liu ,  Songcen Xu ,  Youliang Yan ,  Li Qian

IPC: G06K9/62 ,  G06K9/46 ,  G06K9/38 ,  G06N3/04 ,  G06N3/08

Abstract: This application discloses an object recognition method and apparatus in the field of artificial intelligence. This application relates to the field of artificial intelligence, and specifically, to the field of computer vision. The method includes: obtaining one or more body regions of a to-be-recognized image; determining a saliency score of each of the one or more body regions; and when a saliency score of a body region A is greater than or equal to a categorization threshold, determining a feature vector of an object in the body region A based on a feature of the object in the body region A, and determining a category of the object in the body region A based on the feature vector of the object in the body region A and a category feature vector in a feature library, where the body region A is any one of the one or more body regions.

公开(公告)号：US10521469B2

公开(公告)日：2019-12-31

申请号：US15094675

申请日：2016-04-08

Applicant: Huawei Technologies Co., Ltd.

Inventor： Shi Qiu ,  Xiaogang Wang ,  Wenqi Ju ,  Jianzhuang Liu ,  Xiaoou Tang

IPC: G06F16/583 ,  G06F16/28 ,  G06N20/00 ,  G06F16/901 ,  G06F16/2457

Abstract: The present disclosure relates to an image re-ranking method, which includes: performing image searching by using an initial keyword, obtaining, by calculation, an anchor concept set of a search result according to the search result corresponding to the initial keyword, obtaining, by calculation, a weight of a correlation between anchor concepts in the anchor concept set, and forming an anchor concept graph ACG by using the anchor concepts in the anchor concept set as vertexes and the weight of the correlation between anchor concepts as a weight of a side between the vertexes; acquiring a positive training sample by using the anchor concepts, and training a classifier by using the positive training sample; obtaining a concept projection vector by using the ACG and the classifier; calculating an ACG distance between images in the search result corresponding to the initial keyword; and ranking the images according to the ACG distance.

公开(公告)号：US09898860B2

公开(公告)日：2018-02-20

申请号：US15088878

申请日：2016-04-01

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jianzhuang Liu ,  Wenqi Ju ,  Chunjing Xu

IPC: G06T17/10 ,  G06T7/00 ,  G06F3/0354 ,  G06T1/20 ,  G06F3/0488 ,  G06T19/20 ,  G06T11/20 ,  G06T17/00 ,  G06T7/543

CPC classification number: G06T17/10 ,  G06F3/03543 ,  G06F3/04883 ,  G06T1/20 ,  G06T7/543 ,  G06T11/206 ,  G06T17/00 ,  G06T19/20

Abstract: A method, an apparatus and a terminal for reconstructing a three-dimensional object, where the method includes acquiring two-dimensional line drawing information, segmenting, according to the two-dimensional line drawing information and according to a degree of freedom, the two-dimensional line drawing to obtain at least one line sub-drawing, where the degree of freedom is a smallest quantity of vertices that need to be known for determining a spatial location of the three-dimensional object that includes planes, reconstructing a three-dimensional sub-object according to the line sub-drawing, and combining all three-dimensional sub-objects to obtain the three-dimensional object, and hence, the three-dimensional object can be automatically reconstructed according to two-dimensional line drawing information.

公开(公告)号：US12008797B2

公开(公告)日：2024-06-11

申请号：US17383181

申请日：2021-07-22

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhi Tian ,  Tong He ,  Chunhua Shen ,  Youliang Yan ,  Songcen Xu ,  Yiren Zhou ,  Xiaofei Wu ,  Jianzhuang Liu

IPC: G06V10/44 ,  G06F18/2135 ,  G06F18/2137 ,  G06F18/214 ,  G06F18/25 ,  G06N3/08 ,  G06T3/40 ,  G06V10/77 ,  G06V10/82

CPC classification number: G06V10/457 ,  G06F18/2135 ,  G06F18/2137 ,  G06F18/214 ,  G06F18/253 ,  G06N3/08 ,  G06T3/40 ,  G06V10/454 ,  G06V10/7715 ,  G06V10/82

Abstract: This application discloses an image segmentation method in the field of artificial intelligence. The method includes: obtaining an input image and a processing requirement; performing multi-layer feature extraction on the input image to obtain a plurality of feature maps; downsampling the plurality of feature maps to obtain a plurality of feature maps with a reference resolution, where the reference resolution is less than a resolution of the input image; fusing the plurality of feature maps with the reference resolution to obtain at least one feature map group; upsampling the feature map group by using a transformation matrix W, to obtain a target feature map group; and performing target processing on the target feature map group based on the processing requirement to obtain a target image.

公开(公告)号：US11917288B2

公开(公告)日：2024-02-27

申请号：US17308535

申请日：2021-05-05

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhihao Li ,  Xiaofei Wu ,  Songcen Xu ,  Jianzhuang Liu ,  Youliang Yan

IPC: H04N23/63 ,  G06T7/11 ,  G06N3/08

CPC classification number: H04N23/635 ,  G06T7/11 ,  G06N3/08 ,  G06T2207/20132

Abstract: An image processing method includes detecting human skeleton key points of a character in an image, and for the to-be-processed image, generating a cropping region based on the human skeleton key points and a preset rule, and using the to-be-processed image selected by using the cropping region as an output object. The human skeleton key points and the preset rule are set based on photographing experience.