Abstract: An encoding method and an electronic device for point cloud compression are provided. A two-dimensional image and an occupancy map of a point cloud are obtained. An occupancy status of point cloud data of each pixel sample in the two-dimensional image is determined according to the occupancy map. A weight parameter of each pixel sample in an encoding block of the two-dimensional image is determined according to the occupancy statuses of point cloud data of multiple pixel samples. Multiple rate-distortion costs respectively corresponding to multiple encoding operation options are calculated according to the weight parameter of each pixel sample in the encoding block. One of the encoding operation options is determined to be used to perform an encoding operation on the encoding block according to a minimum rate-distortion cost among the rate-distortion costs.

Abstract: A method of generating point cloud predictor includes: obtaining an encoding unit, wherein the encoding unit is generated from a current three-dimensional (3D) image, obtaining a current 3D block in the current 3D image according to the encoding unit, obtaining a reference 3D block in a reference 3D image according to the current 3D block, wherein the reference 3D image is associated with the current 3D image, obtaining a reference two-dimensional (2D) unit in a reference 2D image according to the reference 3D block, wherein the reference 2D image is generated from the reference 3D image, and generating and outputting a predictor according to a variation degree between the encoding unit and the reference 2D unit.

Abstract: A content patch encoding method and a content patch decoding method are provided. The content patch decoding method includes: receiving a bit stream, and obtaining multiple information corresponding to a point cloud patch and a mesh patch accordingly; obtaining a connectivity between multiple vertices of the mesh patch based on the bit stream; and reconstructing the point cloud patch and the mesh patch based on the information and the connectivity between the vertices.