Abstract: The present subject matter refers a virtual object positioning method in an augmented reality (AR) or virtual reality (VR) environment. The method comprises receiving a virtual object for positioning relative to one or more objects in an AR or VR scene. During the positioning, a relative position of the virtual object is detected relative to the one or more objects in the AR or VR scene and a position due to the relative movement is detected. An occurrence of change in a physical characteristic of the virtual object is predicted based on the virtual object crossing a boundary with respect to the one or more objects. It is determined that the virtual object is likely to cross the boundary during the positioning. Upon the determination, a prior alert is generated.

Abstract: A method may include: obtaining at least one semantic parameter associated with the image; segmenting the at least one object based on the at least one semantic parameter to generate a first segmented object and a second segmented object; identifying a camera level of the electronic device; applying a ground mesh to the image based on the camera level; determining placements of the first segmented object and the second segmented object based on the at least one semantic parameter associated with the first segmented object, the second segmented object, and the ground mesh; determining a relative position of the first segmented object with respect to the second segmented object based on the determined placement of the first segmented object and the second segmented object; and displaying the at least one object on a screen of the electronic device based on the determined relative position.

Abstract: A method for contextual based enhancement of an extended reality (XR) scene by an electronic device is provided. The method includes detecting at least one static object and at least one dynamic object in an XR scene, determining context information of the at least one dynamic object, determining whether a correlation between the context information of the dynamic object and the contextual meta information corresponding to the dynamic object is available in a contextual database, and applying the contextual meta information from the contextual database to the at least one dynamic object.

Abstract: A method for selective magnification in a 3D rendering system includes: displaying, by an electronic device, a first view including at least one real world object and at least one virtual object; displaying, by the electronic device, a second view comprising a region of interest (ROI) in the first view, while displaying the first view; receiving, by the electronic device, a user interaction on the second view; and generating, by the electronic device, interaction on the first view corresponding to the user interaction received on the second view.

Abstract: The present subject matter refers a virtual object positioning method in an augmented reality (AR) or virtual reality (VR) environment. The method comprises receiving a virtual object for positioning relative to one or more objects in an AR or VR scene. During the positioning, a relative position of the virtual object is detected relative to the one or more objects in the AR or VR scene and a position due to the relative movement is detected. An occurrence of change in a physical characteristic of the virtual object is predicted based on the virtual object crossing a boundary with respect to the one or more objects. It is determined that the virtual object is likely to cross the boundary during the positioning. Upon the determination, a prior alert is generated.

Abstract: A method for selective magnification in a 3D rendering system includes: displaying, by an electronic device, a first view including at least one real world object and at least one virtual object; displaying, by the electronic device, a second view comprising a region of interest (ROI) in the first view, while displaying the first view; receiving, by the electronic device, a user interaction on the second view; and generating, by the electronic device, interaction on the first view corresponding to the user interaction received on the second view.

Abstract: An apparatus and method are provided for compressing a three-dimensional (3D) object image represented by point cloud data. The method includes positioning the 3D object image into a plurality of equi-sized cubes for compression; determining 3D local coordinates in each of the plurality of equi-sized cubes and a cube index for each point of the 3D object image positioned in the plurality of equi-sized cubes; generating two-dimensional (2D) image data based on the 3D local coordinates and the cube indexes; and storing the 2D image data in a memory. The 2D image data includes at least one of 2D geometry data, 2D meta data, or 2D color data.

Abstract: An apparatus and method are provided for compressing a three-dimensional (3D) object image represented by point cloud data. The method includes positioning the 3D object image into a plurality of equi-sized cubes for compression; determining 3D local coordinates in each of the plurality of equi-sized cubes and a cube index for each point of the 3D object image positioned in the plurality of equi-sized cubes; generating two-dimensional (2D) image data based on the 3D local coordinates and the cube indexes; and storing the 2D image data in a memory. The 2D image data includes at least one of 2D geometry data, 2D meta data, or 2D color data.

Abstract: A parallelization method includes: obtaining profiling information for each job step of a job by performing profiling of the job to be executed on an electronic device; determining at least one job step to be parallelized on a central processing unit (CPU) and at least one heterogeneous unit of the electronic device among a plurality of job steps of the job based on the profiling information; determining a unit to process each unit data among the CPU and the heterogeneous unit based on the profiling information, with respect to the determined at least one job step; and determining a unit to process each task among the CPU and the heterogeneous unit based on the profiling information, with respect to at least one job step including a plurality of separately executable tasks in the determined at least one job step.

Abstract: A parallelization method includes: obtaining profiling information for each job step of a job by performing profiling of the job to be executed on an electronic device; determining at least one job step to be parallelized on a central processing unit (CPU) and at least one heterogeneous unit of the electronic device among a plurality of job steps of the job based on the profiling information; determining a unit to process each unit data among the CPU and the heterogeneous unit based on the profiling information, with respect to the determined at least one job step; and determining a unit to process each task among the CPU and the heterogeneous unit based on the profiling information, with respect to at least one job step including a plurality of separately executable tasks in the determined at least one job step.