Abstract: Provided is a method for generating Augmented Reality (AR) content that includes: receiving a plurality of image frames of at least one scene captured by a plurality of participant devices in an AR or a Virtual Reality (VR) environment; storing the plurality of image frames and metadata associated with the plurality of image frames, in a database; receiving an AR content generation request to generate an AR content view of a user in the AR/VR environment, the AR content generation request including an identifier (ID) of the user and information of the at least one scene; retrieving a set of image frames from a plurality of stored image frames in the database based on the ID of the user, the information of the at least one scene, and metadata associated with the set of image frames, the set of images including the user in the at least one scene in the AR/VR environment; generating the AR content view of the user by combining the set of image frames retrieved from the database, based on the metadata associated

Abstract: There is provided a method for segmenting a point cloud by an electronic device. The method includes receiving the point cloud including colorless data and/or featureless data. Further, the method includes determining a normal vector for the received point cloud and/or a spatial feature for the received point cloud. Further, the method includes segmenting the point cloud based on the at least one of one or more normal vectors and one or more spatial features.

Abstract: A method for generating a three-dimensional (3D) model of an object includes receiving a two-dimensional (2D) view of at least one object as an input, measuring geometrical shape coordinates of the at least one object from the input, identifying texture parameters of the at least one object from the input, predicting geometrical shape coordinates and texture parameters of occluded portions of the at least one object in the 2D view by processing the measured geometrical shape coordinates of the at least one object, the identified texture parameters of the at least one object, and the occluded portions of the at least one object, and generating a 3D model of the at least one object by mapping the measured geometrical shape coordinates and the identified texture parameters to the predicted geometrical shape coordinates and the predicted texture parameters of the occluded portions of the at least one object.