Thomson Licensing

Interdigital Vc Holdings, Inc.

Huawei Technologies Co., Limited

Thomson Licensing S.a.

Tldtv

Interdigital Madison Patent Holdings, Sas

Kangying Cai

Wenfei Jiang

Jiang Tian

Celine Guede

Tao Luo

Joan Llach Pinsach

Dejun Zhang

Sebastien Lasserre

Zhibo Chen

Julien Ricard

Jianle Chen

Teng Ge Ma

Vladyslav Zakharchenko

Jun Teng

Wei Liang Meng

Zhijin Xia

Edouard Francois

Fan Zhang

David Touze

Ping Hu

Qu Qing Chen

Weiwei Li

Jiheng Yang

Saurabh Puri

Yi Hu

Yu Jin

Wei Hu

Francois Cellier

Weiliang Meng

Quqing Chen

This application discloses a point cloud encoding method and apparatus, a point cloud decoding method and apparatus, and a storage medium for point cloud encoding and/or decoding, and belongs to a data processing field. The method includes: first obtaining auxiliary information of a to-be-encoded patch, and then encoding the auxiliary information and a first index of the to-be-encoded patch into a bitstream. Values of the first index may be a first value, a second value, and a third value. Different values indicate different types of patches. Therefore, different types of patches can be distinguished by using the first index. For different types of patches, their corresponding auxiliary information encoded into a bitstream may comprise different contents. This can simplify a format of information encoded into the bitstream, reduce bit overheads of the bitstream, and improve encoding efficiency.

Point cloud encoding method and apparatus, point cloud decoding method and apparatus, and storage medium

A method of point cloud coding (PCC) including receiving encoded patch information data; obtaining a patch corresponding to the encoded patch information data, the patch having a patch type; determining whether the patch type for the patch is a last patch type; and terminating a reconstruction process corresponding to the encoded patch information data when the patch type is the last patch type. Another method includes the same receiving and obtaining steps, but determining whether the patch type for the patch is a skip patch type; decoding a reference patch index corresponding to the patch when the patch type is the skip patch type; determining a reference index for the patch based on a reference frame index corresponding to the patch and the reference patch index as decoded when the patch type is the skip patch type; and reconstructing a volumetric representation of the patch.

Patch data unit coding and decoding for point-cloud coding

A method of point cloud coding (PCC) implemented by a decoder is provided. The method includes receiving, by a receiver of the decoder, a bitstream containing a patch rotation enabled flag and atlas information for a two dimensional (2D) patch; determining, by a processor of the decoder, that the 2D patch is capable of being rotated based on the patch rotation enabled flag; rotating, by the processor, the 2D patch; and reconstructing, by the processor, a three dimensional (3D) image using the atlas information and the 2D patch as rotated.

Efficient patch rotation in point cloud coding

The point cloud encoding method includes obtaining subgroup information of N frames of point clouds, where the subgroup information includes a quantity M of subgroups into which the N frames of point clouds are divided or a quantity of frames of point clouds included in each of one or more subgroups among the M subgroups, and writing the subgroup information of the N frames of point clouds into a bitstream. The point cloud decoding method includes receiving a bitstream, parsing the bitstream to obtain subgroup information, where the subgroup information includes a quantity M of subgroups into which N frames of point clouds are divided or a quantity of frames of point clouds included in each of one or more subgroups among the M subgroups, and decoding the N frames of point clouds based on the subgroup information.

Point cloud encoding and decoding method and apparatus

A point cloud encoding method includes grouping a to-be-coded point cloud group into a plurality of subgroups, where the grouping a to-be-coded point cloud group into a plurality of subgroups includes pre-grouping a plurality of frames of point clouds in the to-be-coded point cloud group to obtain a pre-grouped subgroup, and determining, based on feature information of the pre-grouped subgroup, that the pre-grouped subgroup is one of the plurality of subgroups, where the feature information represents a size of an occupancy map of a point cloud in the pre-grouped subgroup, and encoding a point cloud included in the plurality of subgroups.

Point cloud encoding method and encoder

This method comprises: —orthogonally projecting at least one point of a point cloud along projection lines; and —for at least two points of a same projection line, signaling in a bitstream whether a position of said projection line between a nearer and a farther points of said projection line is occupied or not.

Method and apparatus for encoding/decoding a point cloud representing a 3D object

The present principles relate to a method and device method for encoding depth values of orthogonally projected points of a point cloud onto a projection plane. The present principles also relate to a method and device for decoding a point cloud, a computer readable program and a video signal.

Method and device for encoding the geometry of a point cloud

This method for inter-predictive encoding of a time-varying 3D point cloud including a series of successive frames divided in 3D blocks into at least one bitstream comprises encoding (20) 3D motion information including a geometric transformation comprising rotation information representative of a rotation transformation and translation information representative of a translation transformation, wherein the translation information comprises a vector &#x394;T representing an estimation error of the translation transformation.

Method and device for predictive encoding/decoding of a point cloud

This method comprises: &#x2014;accessing () a point cloud (PC) comprising a plurality of points defined by attributes, said attributes including a spatial position of a point in a 3D space and at least one feature of the point;&#x2014;segmenting () the point cloud into one or more clusters (C) of points on the basis of the attributes of the points; and for at least one cluster (C):&#x2014;constructing () a similarity graph having a plurality of vertices and at least one edge, the similarity graph representing a similarity among neighboring points of the cluster (C) in terms of the attributes, the plurality of vertices including vertices Pand Pcorresponding to points of the cluster (C);&#x2014;assigning one or more weights wto one or more edges connecting vertices Pand Pof the graph;&#x2014;computing () a transform using the one or more assigned weights, said transform being characterized by coefficients; and&#x2014;quantizing () and encoding () the transform coefficients.

Methods and devices for encoding and reconstructing a point cloud

This method for hole filling of a point cloud having at least one hole comprises:&#x2014;detecting () boundary points of the point cloud;&#x2014;grouping () the detected boundary points in boundary regions based on their spatial adjacency;&#x2014;covering () each boundary region with at least one plane; and&#x2014;inserting () new points in the point cloud using the planes covering the boundary regions.

Method and device for hole filling of a point cloud

The present disclosure concerns a method for reconstructing a point cloud representing a 3D object from an inverse-projected point cloud obtained by inverse-projecting at least one depth image of an original point cloud, said at least one depth image being obtained by projecting points of the original point cloud onto at least one surface, said method comprising the steps of detecting at least one missing part in the inverse-projected point cloud, and completing said at least one missing part based on points in the neighborhood of said at least one missing part.

Method and apparatus for reconstructing a point cloud representing a 3D object

Method and device for coding the geometry of a point cloud

This method for up-sampling a point cloud representing a 3D object, comprises: &#x2014;detecting () points belonging to at least one under-sampled region of the point cloud on the basis of at least one desirable sampling rate (K); &#x2014;obtaining (), for each detected point, an associated tangent plane; &#x2014;inserting () in the point cloud at least one neighboring point of each detected point if a distance between the neighboring point and the tangent plane associated with the detected point is less than a first threshold.

Method and device for up-sampling a point cloud

This method for encoding a 3D point cloud comprises: &#x2014;segmenting the point cloud into first patches (); &#x2014;determining inverse projection parameters of the patches (); &#x2014;projecting the first patches to planes using the inverse projection parameters (); &#x2014;encoding the planes (); &#x2014;determining sparse points in the point cloud not belonging to any patch (HC,); and&#x2014;encoding the sparse points using an octree-decomposition ().

A method and an apparatus for decoding at least one high dynamic range picture from a coded bitstream and a method and corresponding apparatus for coding the bitstream are disclosed. A standard dynamic range picture is decoded from the coded bitstream, a set of pivot points is decoded from the coded bitstream. The set of pivot points is representative of an adjustment function f. A predefined color correction function bis selected. An adjusted color correction function bis determined by 1/b[&#x3b3;]=f[&#x3b3;]&#xd7;(1/b[&#x3b3;]), where &#x3b3; is a luminance value. The high dynamic range picture is reconstructed from the decoded standard dynamic range picture and the adjusted color correction function b.

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Beijing, China

Kangying Cai