公开(公告)号：US20170300744A1

公开(公告)日：2017-10-19

申请号：US15639220

申请日：2017-06-30

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Wenqi Ju ,  Wei Li ,  Chunjing Xu

IPC: G06K9/00

CPC classification number: G06K9/00288 ,  G06K9/00 ,  G06K9/00268 ,  G06K9/6278

Abstract: The present invention provides a method and an apparatus for determining an identity identifier of a face in a face image, and a terminal. The method includes: obtaining an original feature vector of a face image; selecting k candidate vectors from a face image database; selecting a matching vector of the original feature vector from the k candidate vectors; and determining, an identity identifier that is of the matching vector. In embodiments of the present invention, a face image database stores a medium-level feature vector formed by means of mutual interaction between a low-level face feature vector and autocorrelation and cross-correlation submatrices in a joint Bayesian probability matrix. The medium-level feature vector includes information about mutual interaction between the face feature vector and the autocorrelation and cross-correlation submatrices in the joint Bayesian probability matrix, so that efficiency and accuracy of facial recognition can be improved.

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：US10402627B2

公开(公告)日：2019-09-03

申请号：US15639220

申请日：2017-06-30

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Wenqi Ju ,  Wei Li ,  Chunjing Xu

IPC: G06K9/00 ,  G06K9/62

Abstract: The present invention provides a method and an apparatus for determining an identity identifier of a face in a face image, and a terminal. The method includes: obtaining an original feature vector of a face image; selecting k candidate vectors from a face image database; selecting a matching vector of the original feature vector from the k candidate vectors; and determining, an identity identifier that is of the matching vector. In embodiments of the present invention, a face image database stores a medium-level feature vector formed by means of mutual interaction between a low-level face feature vector and autocorrelation and cross-correlation submatrices in a joint Bayesian probability matrix. The medium-level feature vector includes information about mutual interaction between the face feature vector and the autocorrelation and cross-correlation submatrices in the joint Bayesian probability matrix, so that efficiency and accuracy of facial recognition can be improved.

公开(公告)号：US10115208B2

公开(公告)日：2018-10-30

申请号：US15355324

申请日：2016-11-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Wanli Ouyang ,  Xiao Chu ,  Wenqi Ju ,  Jianzhuang Liu ,  Xiaogang Wang

IPC: G06T7/60 ,  G06T7/00 ,  G06K9/00 ,  G06K9/46 ,  G06K9/62

Abstract: An image characteristic estimation method and device is presented, where content of the method includes extracting at least two eigenvalues of input image data, and executing the following operations for each extracted eigenvalue, until execution for the extracted eigenvalues is completed. Selecting an eigenvalue, and performing at least two matrix transformations on the eigenvalue using a pre-obtained matrix parameter in order to obtain a first matrix vector corresponding to the eigenvalue; when a first matrix vector corresponding to each extracted eigenvalue is obtained, obtaining second matrix vectors with respect to the at least two extracted eigenvalues using a convolutional network calculation method according to the obtained first matrix vector corresponding to each eigenvalue; and obtaining a status of an image characteristic in the image data by means of estimation according to the second matrix vectors. In this way, accuracy of estimation is effectively improved.

公开(公告)号：US20170069112A1

公开(公告)日：2017-03-09

申请号：US15355324

申请日：2016-11-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Wanli Ouyang ,  Xiao Chu ,  Wenqi Ju ,  Jianzhuang Liu ,  Xiaogang Wang

IPC: G06T7/60

CPC classification number: G06T7/60 ,  G06K9/00362 ,  G06K9/4628 ,  G06K9/6214 ,  G06K9/6247 ,  G06K9/629 ,  G06T7/00 ,  G06T2207/10004

Abstract: An image characteristic estimation method and device is presented, where content of the method includes extracting at least two eigenvalues of input image data, and executing the following operations for each extracted eigenvalue, until execution for the extracted eigenvalues is completed. Selecting an eigenvalue, and performing at least two matrix transformations on the eigenvalue using a pre-obtained matrix parameter in order to obtain a first matrix vector corresponding to the eigenvalue; when a first matrix vector corresponding to each extracted eigenvalue is obtained, obtaining second matrix vectors with respect to the at least two extracted eigenvalues using a convolutional network calculation method according to the obtained first matrix vector corresponding to each eigenvalue; and obtaining a status of an image characteristic in the image data by means of estimation according to the second matrix vectors. In this way, accuracy of estimation is effectively improved.

Abstract translation: 提出了一种图像特征估计方法和装置，其中方法的内容包括提取输入图像数据的至少两个特征值，并且对于每个提取的特征值执行以下操作，直到完成提取的特征值的执行。 选择特征值，并使用预先获得的矩阵参数在特征值上执行至少两个矩阵变换，以便获得对应于特征值的第一矩阵向量; 当获得与每个提取的特征值对应的第一矩阵向量时，使用根据所获得的与每个特征值对应的第一矩阵向量的卷积网络计算方法获得关于所述至少两个提取的特征值的第二矩阵向量; 以及通过根据第二矩阵向量的估计来获得图像数据中的图像特性的状态。 以这种方式，有效地提高了估计的准确性。

公开(公告)号：US20160217610A1

公开(公告)日：2016-07-28

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

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.

Abstract translation: 一种用于重建三维物体的方法，装置和终端，其中所述方法包括获取二维线条图信息，根据二维线条图信息并根据自由度分割二维线条图， 以获得至少一条线图，其中自由度是确定包括平面的三维物体的空间位置需要知道的最小数量的顶点，重建三维子图 - 对象，并且将所有三维子对象组合以获得三维对象，因此可以根据二维线条图自动重建三维对象。