Abstract: An AR scenario-based gesture interaction method, a non-transitory computer-readable medium, and a wireless communication terminal. The method includes: collecting a RGB image, a depth image, and corresponding IMU data of a current frame; obtaining posture information and hand information of the current frame by processing the RGB image, the depth image, and the IMU data; obtaining three-dimensional point cloud information of a hand in a reference coordinate system by performing three-dimensional dense modeling based on the posture information and the hand information of the current frame; obtaining pose information of a virtual object in the reference coordinate system; and obtaining an occlusion relationship between the hand and the virtual object by rendering the hand and the virtual object based on the three-dimensional point cloud information of the hand, the pose information of the virtual object, and preset point cloud information of the virtual object in the reference coordinate system.

Abstract: A data processing method and an electronic device are provided. The data processing method is implemented by a first device. In the method, an image including a first target object is acquired, the first target object being located in a first reality scene where the first device is located. Based on the image, a map corresponding to the first reality scene is built, and data of the map is obtained. The data of the map is transmitted to a second device, the data of the map being used to instruct the second device to perform relocation based on the data of the map and a second target object, the first and second target objects having at least two identical feature points, the second target object being in a second reality scene where the second device is located, and the second reality scene being different from the first reality scene.

Abstract: An AR scenario-based gesture interaction method, a non-transitory computer-readable medium, and a wireless communication terminal. The method includes: collecting a RGB image, a depth image, and corresponding IMU data of a current frame; obtaining posture information and hand information of the current frame by processing the RGB image, the depth image, and the IMU data; obtaining three-dimensional point cloud information of a hand in a reference coordinate system by performing three-dimensional dense modeling based on the posture information and the hand information of the current frame; obtaining pose information of a virtual object in the reference coordinate system; and obtaining an occlusion relationship between the hand and the virtual object by rendering the hand and the virtual object based on the three-dimensional point cloud information of the hand, the pose information of the virtual object, and preset point cloud information of the virtual object in the reference coordinate system.