Abstract: A video generating device and method are provided. The device analyzes a plurality of real-time images corresponding to a plurality of users to segment a target image from each of the real-time images. The device generates a three-dimensional portrait model corresponding to each of the users based on the target image of each of the real-time images. The device determines a first three-dimensional scenario template from the three-dimensional scenario templates based on a user quantity of the users and the position quantity corresponding to each of the three-dimensional scenario templates. The device composites the three-dimensional portrait models to the spatial label position of the first three-dimensional scenario template to generate a video corresponding to the users.

Abstract: A method of correcting depth of field, performed by a first MR head-mounted device, comprises: superimposing a first virtual object on a first background image to generate an superimposed image, inputting the superimposed image into a depth-of-field correction model to generate a displayed image and display the displayed image, receiving at least one user feedback signal corresponding to the displayed image, and updating a depth-of-field parameter of the depth-of-field correction model with the at least one user feedback signal for the depth-of-field correction model to generate an updated virtual object.

Abstract: A virtuality-reality overlapping method is provided. A point cloud map related to a real scene is constructed. Respective outline border vertexes of a plurality of objects are located by using 3D object detection. According to the outline border vertexes of the objects, the point cloud coordinates of the final candidate outline border vertexes are located according to the screening result of a plurality of projected key frames. Then, the point cloud map is projected to the real scene for overlapping a virtual content with the real scene.

Abstract: A virtuality-reality overlapping method is provided. A point cloud map related to a real scene is constructed. Respective outline border vertexes of a plurality of objects are located by using 3D object detection. According to the outline border vertexes of the objects, the point cloud coordinates of the final candidate outline border vertexes are located according to the screening result of a plurality of projected key frames. Then, the point cloud map is projected to the real scene for overlapping a virtual content with the real scene.