Samsung Electronics Co., Ltd.

Raghavan Velappan

Nachiketa Das

Ajay Surendranath

Amit Kumar Yadav

Debayan Mukherjee

Swadha Jaiswal

Divyanshu Chuchra

Sudip Roy

Jaehan Koh

Raghavendra Holla

Amit Chowdhury

Govindaraju Semmandampalayam Muthusamy

Suresh Kumar KrishnanKutty Vettukuzhyparambhil

Anuradha Oberoi

Vishal Bhushan Jha

GopalaKrishna Puligedda Sharma

Pavan Kumar Dusi

Priyank Popatlal Faldu

Zunaira Naqvi

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.

Method and system for virtual object positioning in an augmented reality or virtual reality environment

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.

Method and electronic device for selective magnification in three dimensional rendering systems

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.

Method and apparatus for processing three dimensional object image using point cloud data

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.

Parallelization method and electronic device based on profiling information

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Bengaluru, India

Raghavan Velappan