Abstract: An image processing method is provided, including: obtaining M images acquired by M cameras arranged around a target region; and based on a region in which a target subject is located in the M images, determining one primary camera from the M cameras, and determining N secondary cameras from the M cameras based on a first primary camera, where images acquired by the one primary camera and the N secondary cameras are used to generate a free-viewpoint video, and a region in which the target subject is located in the free-viewpoint video is related to a region in which the target subject is in an image acquired at a primary camera position. The primary camera and the secondary cameras are selected based on the region in which the target subject is located in each of the images acquired by the M cameras.

Abstract: An autonomous mobile device (AMD) that interacts with a user operates more effectively with reliable information about that user's pose. Occlusion due to obstacles or sensor field-of-view limits may prevent a sensor from “seeing” a user's torso or lower body while the face may remain visible. Face orientation alone produces unreliable results because a user frequently moves their head. Sensor data is acquired over time and used to determine face and body poses, with each pose representing a location and orientation in physical space of that portion of the user. A transform is determined that represents the relative arrangement of a face pose and a body pose at a particular time. If available, the body pose may be used as the user's pose. If the body pose is unavailable or unreliable at a given time, it may be inferred by applying the previously determined transform to the current face pose.

Abstract: A text input method and apparatus based on a virtual keyboard are provided, which relate to the field of human-computer interaction, and resolve a problem of how to complete text input based on the virtual keyboard. The method includes an electronic device that detects key points of a first hand based on an image including the first hand after obtaining the image including the first hand, and projects a virtual keyboard on the first hand based on the key points of the first hand. Further, after obtaining an image including the first hand and a finger of a second hand, the electronic device identifies, based on the image including the first hand and the finger of the second hand, a contact state or a pressing state between the finger of the second hand and the first hand.

Abstract: A screen interaction method and apparatus for an electronic device are disclosed, to determine a target user from a plurality of users and control a picture displayed on a screen of the electronic device based on an action of the target user. The method includes: obtaining, by using a camera, an image including the plurality of users in front of a screen, recognizing respective actions of the plurality of users in the image based on the image including the plurality of users, comparing the actions of the plurality of users with a preset action, determining a user who performs an action matching the preset action as the target user, and controlling a picture displayed on the screen of the electronic device based on the action of the target user.

Abstract: This application provides an image display method and device. The method includes: detecting a first operation performed by a user to start an application; displaying a first interface on the display screen in response to the first operation; detecting a second operation performed by the user in the first interface to indicate to shoot an image, or detecting a second operation performed by the user in the first interface to indicate to select an image; and displaying a multi-dimensional model of a target object in the first interface or a second interface in response to the second operation, where the multi-dimensional model is a multi-dimensional model constructed for the target object in a target image collected by the camera or in a selected target image, and model construction parameters required for constructing the multi-dimensional model are model construction parameters that match an object mask corresponding to the target object.

Abstract: The present disclosure discloses a synchronization object determining method, apparatus, and system, where the method includes determining a first distance between the first terminal and the second terminal in a display picture according to location information of the first terminal and location information of the second terminal, and predicting a second distance between the first terminal and the second terminal after specified duration in the display picture, and classifying, by the synchronization device, the second terminal as a synchronization object of the first terminal if the first distance is greater than the second distance. According to the foregoing method, a proper synchronization object is selected for each terminal according to a mobility feature of a terminal. Therefore, on the one hand, an objective of synchronization can be achieved.

Abstract: The present disclosure discloses a synchronization object determining method, apparatus, and system, where the method includes determining a first distance between the first terminal and the second terminal in a display picture according to location information of the first terminal and location information of the second terminal, and predicting a second distance between the first terminal and the second terminal after specified duration in the display picture, and classifying, by the synchronization device, the second terminal as a synchronization object of the first terminal if the first distance is greater than the second distance. According to the foregoing method, a proper synchronization object is selected for each terminal according to a mobility feature of a terminal. Therefore, on the one hand, an objective of synchronization can be achieved.