Beijing Sensetime Technology Development Co., Ltd.

Beijing Zitiao Network Technology Co., Ltd.

Beijing Zhigu Tech Co., Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Wentao Liu

Chen Qian

Tong Li

Min Wang

Wei Liu

Qinqin Xu

Lizhuang Ma

Zheng Chen

Hao Wang

Chen Chen

Xiaoping Zhang

Quan Wang

Yi Wei

Hong Zou

Chang Jiang

Pengzhan Xu

Fubao Xie

Yunsheng Hao

Zitian Guo

Guichao Ren

Jialu Wang

Zhuang Zou

Jieli Liang

Xiaofei Gao

Shanshan Ling

Yuxiang Li

Daozhi Lin

Boyu Zhou

Zhaojie Su

Ruchong Luo

An interaction method and apparatus and an electronic device. The method comprises: displaying a first application interface, wherein the first application interface comprises an interface of a first application; and creating a second application account in the first application interface, wherein the second application account is used for logging in a second application. Therefore, a new interaction mode is provided.

Interaction method and apparatus, and electronic device

Embodiments of the disclosure disclose an image display method and apparatus, an electronic device, and a storage medium. The method includes: obtaining a first image and a second image that are to be displayed; displaying, in response to receiving a display triggering operation for triggering image display, the first image in an image display area; displaying, in response to detecting that a display condition of a target transition image is satisfied, the target transition image in the image display area, where the target transition image is a fusion image of the first image and the second image; and displaying, in response to detecting that a display condition of the second image is satisfied, the second image in the image display area.

Image display method and apparatus, electronic device, and storage medium

Embodiments of the present disclosure disclose image processing methods and apparatuses, image devices, and storage media. The image processing method includes: obtaining an image; obtaining the feature of the limb of the body based on the image, where the limb includes the upper limb and/or the lower limb; determining first-type movement information of the limb based on the feature; and controlling the movement of the limb of a controlled model according to the first-type movement information.

Controlling display of model derived from captured image

A morphing part to be morphed and a morphing effect are acquired. Human body contour point information is acquired by detecting a human contour point of a human sideway image. A morphing region is determined according to the human contour point information and the morphing part. The morphing region is an image region to be morphed in the human sideway image. A human orientation is determined according to the human contour point information. A morphing direction of the morphing region is determined according to the human orientation and the morphing effect. Morphing is performed along the morphing direction in the morphing region.

Method and device for processing image, and storage medium

An image processing method and apparatus, a device, and a storage medium are provided. The image processing method includes: obtaining key points of a reference region of an object in an image; determining the orientation of the reference region according to the key points of the reference region; and performing deformation processing on a region to be adjusted of the object based on the orientation of the reference region, where the region to be adjusted is the same as or different from the reference region.

Image processing method and apparatus, image device, and storage medium

A method and apparatus for method for image processing, and a computer storage medium are provided. The method includes: obtaining a first image, identifying a target object in the first image, and obtaining leg detection information of the target object; respectively determining a contour line and a target line of a leg region of the target object based on the leg detection information; and performing image deformation processing on the leg region based on the contour line and the target line of the leg region to generate a second image.

Method and apparatus for image processing, and computer storage medium

Embodiments of the present disclosure disclose an image processing method and apparatus, an image device, and a storage medium. The image processing method includes: obtaining an image; obtaining first rotation information of each of multiple nodes of a target; determining second rotation information of each child node with respect to a parent node in the multiple nodes of the target according to a hierarchical relationship among the nodes and multiple pieces of the first rotation information; and controlling movements of nodes in a controlled model corresponding to the multiple nodes based on multiple pieces of the second rotation information.

Controlling display of a model based on captured images and determined information

A first three-dimensional (3D) model of a target in a 3D space is acquired based on a first two-dimensional (2D) image including the target. A 3D morphing parameter is acquired. The first 3D model is transformed into a second 3D model based on the 3D morphing parameter. First 2D coordinates are acquired by mapping the first 3D model to a 2D space. Second 2D coordinates are acquired by mapping the second 3D model to the 2D space. A second 2D image including a morphed target is acquired by morphing the target in the first 2D image based on the first 2D coordinates and the second 2D coordinates.

Method and device for processing image, and storage medium using 3D model, 2D coordinates, and morphing parameter

An image processing method includes: performing inspection on an image to be processed, and determining a contour line of a target object in the image to be processed and regions of the target object; determining, for a selected first region, first adjustment parameters of target pixel points in the first region according to set parameters; determining, for a second region adjacent to the first region, second adjustment parameters of reference pixel points in the second region; and adjusting the image to be processed according to the first and second adjustment parameters to determine an adjusted image.

Image processing methods and apparatuses, electronic devices, and storage media

An image processing methods includes: obtaining a first image, identifying a target object in the first image, and obtaining body detection information of the target object; obtaining first detection information related to a leg region of the target object in the body detection information; and performing image deformation processing on the leg region corresponding to the first detection information to generate a second image.

Image processing method, terminal device, and computer storage medium

Provided are a data processing method and apparatus, an electronic device and a storage medium. The data processing method comprises: according to a reference depth value and an actual depth value of a key point of a target in an image, converting first 2D coordinates of the key point into second 2D coordinates, wherein the second 2D coordinates and the reference depth value constitute a first 3D feature of the key point; and based on the first 3D feature, obtaining a 3D posture of the target.

Data processing method and apparatus, electronic device and storage medium

An image processing method and apparatus, an electronic device, and a storage medium are provided. The method includes: performing detection on an image to be processed to determine a contour line of a target object in the image to be processed and a plurality of regions; determining, for a target region in the plurality of regions, first adjustment parameters of target pixel points according to one or more set parameters, where the target pixel points includes one or more first pixel points on the contour line and one or more third pixel points inside the contour line; determining, for the target region, second adjustment parameters of one or more second pixel points according to the first adjustment parameters; and adjusting the image to be processed according to the first adjustment parameters and the second adjustment parameters to obtain an adjusted image.

Image processing method and apparatus, electronic device, and storage medium

A method, a device, and a storage medium for providing a running road of an urban road are provided in the present disclosure. The method includes: obtaining a weighed road length of a specified urban road according to user track data of the specified urban road and road network data of the specified urban road; obtaining an actual passing period of the specified urban road according to the road network data of the specified urban road and road condition data of the specified urban road; obtaining a running speed of the specified urban road according to the weighed road length of the specified urban road and the actual passing period of the specified urban road; and providing the running speed of the specified urban on digital map products.

Method, device and computer storage medium for providing running speed of urban road

A gesture identification method includes: performing gesture information detection on an image by means of a neural network, to obtain a potential hand region, a potential gesture category and a potential gesture category probability in the image, the potential gesture category including a gesture-free category and at least one gesture category; and if the obtained potential gesture category with the maximum probability is the gesture-free category, not outputting position information of the potential hand region of the image; or otherwise, outputting the position information of the potential hand region of the image and the obtained potential gesture category with the maximum probability.

Gesture identification, control, and neural network training methods and apparatuses, and electronic devices

Body contour key point detection methods, image processing methods, neural network training methods, apparatuses, electronic devices, computer-readable storage media, and computer programs include: obtaining an image feature of an image block including a body; obtaining a body contour key point prediction result of the body by means of a first neural network according to the image feature; and obtaining a body contour key point in the image block according to the body contour key point prediction result; where the body contour key point is used for representing an outer contour of the body.

Growing community of inventors

Beijing, China

Wentao Liu