Method, apparatus, and system for sampling-based dynamic mesh compression are provided. The process may include determining one or more sample positions associated with an input mesh based on one or more sampling rates, and an occupancy status associated respectively with each of the one or more sample positions indicating whether each of the one or more sample positions is within boundaries of one or more polygons defined by the input mesh is determined. The process may include generating a sample-based occupancy map based on the occupancy status associated respectively with each of the one or more sample positions.

Methods of encoding and decoding video data are provided. In an encoding method, source video data comprising one or more source views is encoded into a video bitstream. Depth data of at least one of the source views is nonlinearly filtered and downsampled prior to encoding. After decoding, the decoded depth data is up-sampled and nonlinearly filtered.

This application provides a method for selecting a neighbor point of a current point in a point cloud. The method includes: determining, from point cloud data, a target region where the current point is located, the target region comprising a plurality of points; determining, for at least two decoded target points in the target region, a weight coefficient of each of the at least two target points, the at least two target points not comprising the current point; determining a weight of each of the at least two target points according to the weight coefficient and geometry information of each of the at least two target points and geometry information of the current point; and selecting at least one from the at least two target points according to the weight of each of the at least two target points as the neighbor point of the current point.

A method of encoding point cloud data using a planar coding mode is disclosed. The planar coding mode may be signaled using a planar mode flag to signal that a current volume is planar. A volume is planar if all of its occupied child nodes are on one side of a plane bisecting the volume. A planar position flag may signal which side of the volume is occupied. Volume data for already-coded occupied volumes of the point cloud is tracked using a data structure stored in memory. Entropy coding may be used to code the planar mode flag and/or the planar position flag. Context determination for coding may take into account a distance between the volume and a closest already-coded occupied volume among those tracked already-coded occupied volumes that have a same index in the data structure as the current volume.

An example device includes one or more processors, and memory storing instructions that when executed by the processors, cause the processors to receive points that represent a point cloud in three-dimensional space, and generate a data structure representing the point cloud. Generating the data structure includes encoding a position of each point in each dimension as a sequence of bits according to a tree data structure; partitioning each of the sequences into two or more portions according to a scaling depth; determining that a subset of the points is spatially isolated from a remainder of the points; quantizing each of the portions associated with the subset of the points according to a first quantization step size; quantizing each of the portions associated with the remainder of the points according to a second quantization step size; and including the quantized portions in the data structure.

A method comprising: providing a 3D representation of at least one object as an input for an encoder (500); projecting the 3D representation onto at least one 2D patch (502); generating at least a geometry image and a texture image from the 2D patch (504); generating, based on the geometry image, a mesh comprising a number of vertices (506); mapping the number of vertices to two- dimensional (2D) coordinates of the texture image (508); and signalling said 2D coordinates of the texture image to be applied to the number of vertices of the mesh in or along a bitstream (510).

Provided are a point cloud data encapsulation method and a point cloud data transmission method. The point cloud data encapsulation method includes: compressing a point cloud media file; and encapsulating the compressed point cloud media file and setting a classification record according to a data type, where the classification record is used for indicating a data type of each portion of point cloud data in the point cloud media file. The problem of low transmission efficiency of the media content and waste of storage space in the point cloud data transmission is solved, the flexibility of the media content combination is increased, management control of a multimedia service is increased, users are given more rights to independently select and acquire the media content, diversified application scenarios are provided, and better multimedia content provision and transmission solutions are provided for network operators.

This application provides a method for predicting a point cloud attribute, an encoder, a decoder, and a storage medium. During point cloud attribute prediction, different selection policies for target adjacent points are designed according to the distribution of repetition points, to determine at least one target adjacent point of a target point, and attribute prediction is performed on the target point according to reconstructed attribute information of the at least one target adjacent point, thereby improving the efficiency and accuracy of point cloud attribute prediction.

A point cloud data encoding method and decoding method, a device, a medium, and a program product are provided, and relate to the field of point cloud application technologies. One method includes obtaining point cloud data, the point cloud data comprising at least two data points; and sequentially encoding data points in the point cloud data according to encoding orders of the data points, to obtain encoded point cloud data corresponding to the point cloud data, wherein the encoding orders of the data points being determined based on distances among the data points. Another method includes obtaining encoded point cloud data, obtaining reference information, the reference information being used for indicating a start reference data point of an encoding queue; and sequentially decoding, based on the reference information and the encoded point cloud data, data points according to the encoding orders of the data points.

A method, apparatus and computer program product are provided to signal and store compressed point clouds in video encoding. The method, apparatus and computer program product may be utilized in conjunction with a variety of video formats. Relative to encoding of compressed point clouds, the method, apparatus and computer program product access a point cloud compression coded bitstream and cause storage of the point cloud compression coded bitstream. The point cloud compression coded bitstream comprises a texture information bitstream, a geometry information bitstream, and an auxiliary metadata bitstream. Relative to the decoding of compressed point clouds, the method, apparatus and computer program product receive a point cloud compression coded bitstream and decode the point cloud compression coded bitstream.