Method and device for encoding/decoding scalable point cloud

US2021304354A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2021304354-A1
Application numberUS-201917259861-A
CountryUS
Kind codeA1
Filing dateJul 12, 2019
Priority dateJul 13, 2018
Publication dateSep 30, 2021
Grant date

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Abstract

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There is provided a scalable point cloud encoding/decoding method and apparatus. The scalable point cloud decoding method comprises: acquiring an encoded texture image, an encoded geometry image, encoded occupancy map information, and encoded auxiliary patch-info information from a bitstream; acquiring a decoded texture image for each partition using the encoded texture image; reconstructing a geometry image of at least one item selected from among the encoded geometry image, the encoded occupancy map information, and the encoded auxiliary catch-info information; and reconstructing a point cloud using the texture images for the respective partitions and the geometry image.

First claim

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1 . A scalable point cloud decoding method comprising: acquiring an encoded texture image, an encoded geometry image, encoded occupancy map information, and encoded auxiliary patch-info information from a bitstream; acquiring a decoded texture image for each partition using the encoded texture image; reconstructing a geometry image of at least one item selected from among the encoded geometry image, the encoded occupancy map information, and the encoded auxiliary patch-info information; and reconstructing a point cloud using the texture images for the respective partitions and the geometry image. 2 . The method according to claim 1 , wherein the partition includes at least one item selected from among a slice, a tile, a tile group, and a brick. 3 . The method according to claim 1 , wherein the reconstructing of the geometry image comprises acquiring a decoded geometry image for each partition using the encoded geometry image. 4 . The method according to claim 1 , wherein the reconstructing of the geometry image comprises generating decoded occupancy map information for each partition using the encoded occupancy map information. 5 . The method according to claim 1 , wherein the reconstructing of the geometry image comprises generating decoded auxiliary patch-info information for each partition using the encoded auxiliary patch-info information. 6 . The method according to claim 1 , wherein the reconstructing of the geometry image comprises smoothing the geometry image. 7 . The method according to claim 1 , further comprising decoding information indicating whether partitioning is applied to the point cloud acquired from the bitstream. 8 . The method according to claim 7 , further comprising decoding at least one type of information among 3D bounding box information and 2D bounding box information on the basis of the information indicating whether the partitioning is applied. 9 . The method according to claim 8 , wherein at least one type of information among the information indicating the partitioning is applied, the 3D bounding box information, and the 2D bounding box information is signaled via header information. 10 . The method according to claim 3 , wherein at least one type of information among the information indicating the partitioning is applied, the 3D bounding box information, and the 2D bounding box information is signaled via SEI message information. 11 . The method according to claim 1 , further comprising decoding mapping information indicating a mapping relation among the texture image, the geometry image, the occupancy map information, and the auxiliary patch-info information. 12 . A point cloud encoding method comprising: dividing a point cloud into at least one partition; encoding at least one partition among the partitions using information on the partition; and encoding the information on the partition. 13 . The method according to claim 12 , wherein the partition includes at least one item selected from among a slice, a tile, a tile group, and a brick. 14 . The method according to claim 12 , wherein the encoding of the partition comprises generating a geometry image in which each of the partitions are padded with geometry image information. 15 . The method according to claim 12 , wherein the encoding of the partition comprises generating a texture image in which each of the partitions is padded with texture image information. 16 . The method according to claim 12 , wherein the encoding of the partition comprises encoding occupancy map information for each of the partitions. 17 . The method according to claim 12 , wherein the encoding of the partition comprises encoding auxiliary patch-info information for each of the partitions. 18 . The method according to claim 12 , wherein the information on the partition contains information indicating whether partitioning is applied to the point cloud. 19 . The method according to claim 18 , wherein the information on the partition contains 3D bounding box information, 2D bounding box information, or both. 20 . A computer-readable non-transitory recording medium storing image data received, decoded, and used by a scalable point cloud decoding apparatus in a process of reconstructing an image, wherein the image data includes an encoded texture image, an encoded geometry image, encoded occupancy map information, and encoded auxiliary patch-info information, the encoded texture image is used to acquire a decoded texture image for each partition, at least one item selected from among the encoded geometry image, the encoded occupancy map information, and the encoded auxiliary patch-info information is used to reconstruct a geometry image, and the texture image for each partition and the geometry image are used to reconstruct a point cloud.

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Classifications

  • specially adapted for multi-view video sequence encoding · CPC title

  • using hierarchical techniques, e.g. scalability (H04N19/63 takes precedence) · CPC title

  • G06T9/001Primary

    Model-based coding, e.g. wire frame · CPC title

  • Dividing image into blocks, subimages or windows · CPC title

  • using video object coding · CPC title

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What does patent US2021304354A1 cover?
There is provided a scalable point cloud encoding/decoding method and apparatus. The scalable point cloud decoding method comprises: acquiring an encoded texture image, an encoded geometry image, encoded occupancy map information, and encoded auxiliary patch-info information from a bitstream; acquiring a decoded texture image for each partition using the encoded texture image; reconstructing a …
Who is the assignee on this patent?
Electronics & Telecommunications Res Inst, Iucf Hyu
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 Thu Sep 30 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 7 related publications on this page (citations in our corpus or others sharing the same primary CPC).