Dynamic mesh coding with simplified topology

US12536709B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12536709-B2
Application numberUS-202218724601-A
CountryUS
Kind codeB2
Filing dateDec 28, 2022
Priority dateDec 29, 2021
Publication dateJan 27, 2026
Grant dateJan 27, 2026

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Abstract

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A computer-implemented method for decoding a coded mesh bitstream of a dynamic mesh representing three-dimensional content includes that: geometry information of the dynamic mesh is reconstructed from a geometry component bitstream in the coded mesh bitstream, the reconstructed geometry information includes data specifying vertices of the dynamic mesh; connectivity information of the dynamic mesh is reconstructed from a connectivity component bitstream in the coded mesh bitstream, the reconstructed connectivity information includes data specifying faces of the dynamic mesh; the reconstructed connectivity information is refined based on the reconstructed geometry information to generate refined connectivity information by at least dividing a face specified by the reconstructed connectivity information into two faces based on a vertex specified in the reconstructed geometry information; the dynamic mesh is reconstructed based on the reconstructed geometry information and the refined connectivity information; and the reconstructed dynamic mesh is caused to be rendered for display.

First claim

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The invention claimed is: 1 . A computer-implemented method for decoding a coded mesh bitstream of a dynamic mesh representing three-dimensional (3D) content, the method comprising: reconstructing geometry information of the dynamic mesh from a geometry component bitstream in the coded mesh bitstream, the reconstructed geometry information comprising data specifying a plurality of vertices of the dynamic mesh; reconstructing connectivity information of the dynamic mesh from a connectivity component bitstream in the coded mesh bitstream, the reconstructed connectivity information comprising data specifying a plurality of faces of the dynamic mesh; refining the reconstructed connectivity information based on the reconstructed geometry information to generate refined connectivity information by at least dividing a face out of the plurality of faces specified by the reconstructed connectivity information into two faces based on a vertex of the plurality of vertices specified in the reconstructed geometry information; reconstructing the dynamic mesh based on the reconstructed geometry information and the refined connectivity information; and causing the reconstructed dynamic mesh to be rendered for display. 2 . The computer-implemented method of claim 1 , wherein refining the reconstructed connectivity information based on the reconstructed geometry information comprises: identifying a vertex of the plurality of vertices that is located inside a face of the plurality of faces; determining a projected vertex of the vertex on an edge of the face; and dividing the face into two refined faces, each refined face has the projected vertex as one vertex. 3 . The computer-implemented method of claim 2 , wherein each of the two refined faces have a same orientation as the face. 4 . The computer-implemented method of claim 2 , wherein determining the projected vertex of the vertex comprises: determining a nearest edge for the vertex among edges of the face, wherein a distance between the vertex to the nearest edge is smaller than another distance between the vertex to another edge of the edges of the face; and determining the projected vertex as an intersection of a line with the nearest edge, the line passing through the vertex and an opposite vertex of the face that does not belong to the nearest edge. 5 . The computer-implemented method of claim 1 , wherein refining the reconstructed connectivity information based on the reconstructed geometry information comprises: identifying two or more vertices of the plurality of vertices that are located inside a face of the plurality of faces; selecting, among the two or more vertices, a vertex for processing based on a distance between each of the two or more vertices and a corresponding nearest edge; determining a projected vertex of the selected vertex on an edge of the face; and dividing the face into two refined faces, each refined face has the projected vertex as one vertex. 6 . The computer-implemented method of claim 5 , wherein selecting the vertex for processing among the two or more vertices comprises: determining, for each vertex of the two or more vertices, a nearest edge among edges of the face, wherein a distance between the vertex to the nearest edge is smaller than another distance between the vertex to another edge of the edges of the face; and selecting the vertex for processing as a vertex among the two or more vertices that has a largest distance to the corresponding nearest edge. 7 . The computer-implemented method of claim 1 , wherein reconstructing the geometry information of the dynamic mesh from the geometry component bitstream comprises decoding the geometry component bitstream by a video decoder. 8 . A non-transitory computer-readable medium having program code that is stored thereon, the program code executable by one or more processors for performing operations comprising: reconstructing geometry information of a dynamic mesh from a geometry component bitstream in a coded mesh bitstream of the dynamic mesh, the reconstructed geometry information comprising data specifying a plurality of vertices of the dynamic mesh; reconstructing connectivity information of the dynamic mesh from a connectivity component bitstream in the coded mesh bitstream, the reconstructed connectivity information comprising data specifying a plurality of faces of the dynamic mesh; refining the reconstructed connectivity information based on the reconstructed geometry information to generate refined connectivity information by at least dividing a face out of the plurality of faces specified by the reconstructed connectivity information into two faces based on a vertex of the plurality of vertices specified in the reconstructed geometry information; reconstructing the dynamic mesh based on the reconstructed geometry information and the refined connectivity information; and causing the reconstructed dynamic mesh to be rendered for display. 9 . The non-transitory computer-readable medium of claim 8 , wherein refining the reconstructed connectivity information based on the reconstructed geometry information comprises: identifying a vertex of the plurality of vertices that is located inside a face of the plurality of faces; determining a projected vertex of the vertex on an edge of the face; and dividing the face into two refined faces, each refined face has the projected vertex as one vertex. 10 . The non-transitory computer-readable medium of claim 9 , wherein each of the two refined faces have a same orientation as the face. 11 . The non-transitory computer-readable medium of claim 9 , wherein determining the projected vertex of the vertex comprises: determining a nearest edge for the vertex among edges of the face, wherein a distance between the vertex to the nearest edge is smaller than another distance between the vertex to another edge of the edges of the face; and determining the projected vertex as an intersection of a line with the nearest edge, the line passing through the vertex and an opposite vertex of the face that does not belong to the nearest edge. 12 . The non-transitory computer-readable medium of claim 8 , wherein refining the reconstructed connectivity information based on the reconstructed geometry information comprises: identifying two or more vertices of the plurality of vertices that are located inside a face of the plurality of faces; selecting, among the two or more vertices, a vertex for processing based on a distance between each of the two or more vertices and a corresponding nearest edge; determining a projected vertex of the selected vertex on an edge of the face; and dividing the face into two refined faces, each refined face has the projected vertex as one vertex. 13 . The non-transitory computer-readable medium of claim 12 , wherein selecting the vertex for processing among the two or more vertices comprises: determining, for each vertex of the two or more vertices, a nearest edge among edges of the face, wherein a distance between the vertex to the nearest edge is smaller than another distance between the vertex to another edge of the edges of the face; and selecting the vertex for processing as a vertex among the two or more vertices that has a largest distance to the corresponding nearest edge. 14 . The non-transitory computer-readable medium of claim 8 , wherein reconstructing the geometry information of the dynamic mesh from the geometry component bitstream comprises decoding the geometry component bitstream by a video decoder. 15 . A system comprising: a processor; and a non-tran

Assignees

Inventors

Classifications

  • Particle system, point based geometry or rendering · CPC title

  • Level of detail · CPC title

  • Re-meshing · CPC title

  • Finite element generation, e.g. wire-frame surface description, {tesselation} · CPC title

  • Contour coding, e.g. using detection of edges · CPC title

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What does patent US12536709B2 cover?
A computer-implemented method for decoding a coded mesh bitstream of a dynamic mesh representing three-dimensional content includes that: geometry information of the dynamic mesh is reconstructed from a geometry component bitstream in the coded mesh bitstream, the reconstructed geometry information includes data specifying vertices of the dynamic mesh; connectivity information of the dynamic me…
Who is the assignee on this patent?
Guangdong Oppo Mobile Telecommunications Corp Ltd
What technology area does this patent fall under?
Primary CPC classification G06T9/001. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 27 2026 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).