Dynamic mesh coding with simplified topology

US12530813B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12530813-B2
Application numberUS-202218725355-A
CountryUS
Kind codeB2
Filing dateDec 28, 2022
Priority dateDec 29, 2021
Publication dateJan 20, 2026
Grant dateJan 20, 2026

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Abstract

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A mesh decoder reconstructs geometry information of a dynamic mesh from a coded mesh bitstream of the dynamic mesh. The reconstructed geometry information include data specifying vertices of the dynamic mesh. The decoder also reconstructs connectivity information of the dynamic mesh which includes data specifying faces of the dynamic mesh. The decoder refines the reconstructed connectivity information based on the reconstructed geometry information to generate refined connectivity information. The decoder further reconstructs an attribute image of the dynamic mesh from the coded mesh bitstream which includes image content to be applied to faces of the dynamic mesh. The decoder refines the reconstructed attribute image based on the reconstructed geometry information to generate refined attribute image. Based on the reconstructed geometry information, the refined connectivity information, and the refined attribute image, the decoder reconstructs the dynamic mesh which can 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; reconstructing an attribute image of the dynamic mesh from an attribute component bitstream in the coded mesh bitstream, the reconstructed attribute image comprising image content to be applied to faces of the dynamic mesh; refining the reconstructed attribute image based on the reconstructed geometry information to generate refined attribute image; reconstructing the dynamic mesh based, at least in part, upon the reconstructed geometry information, the refined connectivity information, and the refined attribute image; and causing the reconstructed dynamic mesh to be rendered for display, wherein refining the reconstructed connectivity information based on the reconstructed geometry information to generate refined connectivity information comprises 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. 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 refining the reconstructed attribute image based on the reconstructed geometry information to generate refined attribute image comprises: determining a transformation based on the vertex and the projected vertex; and applying an inverse of the transformation to a face in the reconstructed attribute image that corresponds to the face. 4 . The computer-implemented method of claim 3 , wherein the transformation is one of an affine transformation or an interpolation transformation. 5 . The computer-implemented method of claim 4 , wherein parameters of the interpolation transformation are signaled in the coded mesh bitstream. 6 . The computer-implemented method of claim 4 , wherein parameters of the affine transformation are determined based on the vertex and the projected vertex. 7 . The computer-implemented method of claim 1 , further comprising: reconstructing mapping information of the dynamic mesh from a mapping component bitstream in the coded mesh bitstream, the reconstructed mapping information comprising data specifying a list of vertex attribute coordinates in the attribute image; and refining the reconstructed mapping information based on the reconstructed geometry information to generate refined mapping information, wherein reconstructing the dynamic mesh is further based on the refined mapping information. 8 . A system comprising: a processor; and a non-transitory computer-readable medium communicatively coupled to the processor, wherein the processor is configured to execute program code stored in the non-transitory computer-readable medium and thereby perform 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; reconstructing an attribute image of the dynamic mesh from an attribute component bitstream in the coded mesh bitstream, the reconstructed attribute image comprising image content to be applied to faces of the dynamic mesh; refining the reconstructed attribute image based on the reconstructed geometry information to generate refined attribute image; reconstructing the dynamic mesh based, at least in part, upon the reconstructed geometry information, the refined connectivity information, and the refined attribute image; and causing the reconstructed dynamic mesh to be rendered for display, wherein refining the reconstructed connectivity information based on the reconstructed geometry information to generate refined connectivity information comprises 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. 9 . The system 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 system of claim 9 , wherein refining the reconstructed attribute image based on the reconstructed geometry information to generate refined attribute image comprises: determining a transformation based on the vertex and the projected vertex; and applying an inverse of the transformation to a face in the reconstructed attribute image that corresponds to the face. 11 . A computer-implemented method for encoding three-dimensional (3D) content represented by a dynamic mesh, the method comprising: converting geometry information from a list of vertices of the dynamic mesh to a sequence of geometry component images; encoding the sequence of geometry component images of the dynamic mesh using a video encoder to generate a geometry component bitstream; decoding the geometry component bitstream to generate reconstructed geometry component images; determining a face to be removed from connectivity component images of the dynamic mesh, the face containing a vertex in the reconstructed geometry component images; updating the connectivity component images of the dynamic mesh by removing the face from the connectivity component images; encoding the updated connectivity component images to generate a connectivity component bitstream; updating, based on updating the connectivity component images, mapping component images of the dynamic mesh; encoding the updated mapping component images to generate a mapping component bitstream; and generating a coded mesh bitstream by including at least the geometry component bitstream, the connectivity component bitstream, and the mapping component bitstream, wherein determining the face to be removed from connectivity component images of the dynamic mesh comprises: access

Assignees

Inventors

Classifications

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

  • Level of detail · CPC title

  • Re-meshing · CPC title

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

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

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What does patent US12530813B2 cover?
A mesh decoder reconstructs geometry information of a dynamic mesh from a coded mesh bitstream of the dynamic mesh. The reconstructed geometry information include data specifying vertices of the dynamic mesh. The decoder also reconstructs connectivity information of the dynamic mesh which includes data specifying faces of the dynamic mesh. The decoder refines the reconstructed connectivity info…
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 20 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).