Abstract: A method and apparatus for rendering point cloud-based volumetric data are provided. The method includes receiving, at a computing device, a plurality of two-dimensional (2D) frames associated with a three-dimensional (3D) point cloud, and projection metadata comprising details of projection of the 3D point cloud into a 2D image plane; reconstructing, by the computing device, a plurality of 3D points associated with the 3D point cloud, based on the received 2D frames and the projection metadata; and generating texture images based on the plurality of 3D points; and rendering at least one quad image based on the texture images.

Abstract: A method and apparatus for rendering point cloud-based volumetric data are provided. The method includes receiving, at a computing device, a plurality of two-dimensional (2D) frames associated with a three-dimensional (3D) point cloud, and projection metadata comprising details of projection of the 3D point cloud into a 2D image plane; reconstructing, by the computing device, a plurality of 3D points associated with the 3D point cloud, based on the received 2D frames and the projection metadata; and generating texture images based on the plurality of 3D points; and rendering at least one quad image based on the texture images.

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.