POINT CLOUD OPTIMIZATION USING INSTANCE SEGMENTATION

    公开(公告)号:US20240062466A1

    公开(公告)日:2024-02-22

    申请号:US18207614

    申请日:2023-06-08

    CPC classification number: G06T17/20

    Abstract: Aspects of the disclosure provide methods and apparatuses for point cloud processing. In some examples, an apparatus for point cloud processing includes processing circuitry. For example, the processing circuitry obtains point cloud data corresponding to a point cloud in a three dimensional (3D) space, projects the point cloud in the 3D space to one or more two dimensional (2D) planes to generate one or more images. The processing circuitry generates a pixel wise mask for object instances in the point cloud according to the one or more images. The pixel wise mask includes first pixels that are associated with a first object instance in the point cloud. The processing circuitry processes the point cloud based on the pixel wise mask, a portion of the point cloud corresponding the first pixels in the pixel wise mask is processed based on one or more processing parameters determined for the first object instance.

    TEMPORAL PREDICTION BASED VERTEX POSITION COMPRESSION

    公开(公告)号:US20230388543A1

    公开(公告)日:2023-11-30

    申请号:US18127487

    申请日:2023-03-28

    Abstract: A plurality of neighboring vertices of a current vertex in a current frame of a mesh is determined. The current frame corresponds to the mesh at a first time instance. Each of the plurality of neighboring vertices is connected to the current vertex through a respective edge in the mesh. A plurality of neighboring estimation errors of the plurality of neighboring vertices is determined. Each of the plurality of neighboring estimation errors indicates a difference between a reference vertex of a corresponding one of the plurality of neighboring vertices in a reference frame and the corresponding one of the plurality of neighboring vertices in the current frame. The reference frame corresponds to the mesh at a second time instance. A prediction residue of the current vertex is determined based on the plurality of neighboring estimation errors. Prediction information of the current vertex is generated based on the determined prediction residue.

    MESH COMPRESSION WITH DEDUCED TEXTURE COORDINATES

    公开(公告)号:US20230222697A1

    公开(公告)日:2023-07-13

    申请号:US17969570

    申请日:2022-10-19

    CPC classification number: G06T9/001 G06V10/24 G06V10/457

    Abstract: Aspects of the disclosure provide methods and apparatuses for mesh coding (encoding and/or decoding). In some examples, an apparatus for coding mesh includes processing circuitry. The processing circuitry decodes, three dimensional (3D) coordinates of vertices in a first 3D mesh frame and connectivity information of the vertices from a bitstream that carries the first 3D mesh frame. The first 3D mesh frame represents a surface of an object with polygons. The processing circuitry deduces texture coordinates associated with the vertices, and decodes a texture map for the first 3D mesh frame from the bitstream. The texture map includes first one or more 2D charts with 2D vertices having the texture coordinates. The processing circuitry reconstructs the first 3D mesh frame based on the 3D coordinates of the vertices, the connectivity information of the vertices, the texture map and the texture coordinates.

    METHODS AND APPARATUSES FOR DYNAMIC MESH COMPRESSION

    公开(公告)号:US20230014820A1

    公开(公告)日:2023-01-19

    申请号:US17862066

    申请日:2022-07-11

    Abstract: Aspects of the disclosure provide methods and apparatuses for mesh coding (e.g., compression and decompression). In some examples, an apparatus for mesh coding includes processing circuitry. The processing circuitry decodes, using a point cloud compression (PCC) decoder and from a bitstream, a point cloud that includes points corresponding to at least one of vertices in a mesh or sampling points of polygons in the mesh. The processing circuitry determines, based on the point cloud, estimated connectivity information of the vertices in the mesh, and generate, a reconstructed mesh frame based on the point cloud and the estimated connectivity information.

    GROUP OF PICTURES BASED PATCH PACKING FOR VIDEO BASED POINT CLOUD CODING

    公开(公告)号:US20230011096A1

    公开(公告)日:2023-01-12

    申请号:US17497326

    申请日:2021-10-08

    Abstract: Methods and apparatuses of encoding a video stream encoded using video point cloud coding include obtaining a plurality of frames including a first frame and remaining frames, wherein each frame of the plurality of frames is packed with a corresponding plurality of patches; grouping the remaining frames into a first group and a second group, wherein frames grouped into same group are temporally neighboring; processing the first frame; parallel processing frames in the first group after the first frame is processed; and generating an encoded video stream based on the processed first frame and the processed frames in the first group, wherein at least one frame of the first group depends from the first frame.

    NON-BINARY OCCUPANCY MAP FOR VIDEO BASED POINT CLOUD CODING

    公开(公告)号:US20220394294A1

    公开(公告)日:2022-12-08

    申请号:US17496270

    申请日:2021-10-07

    Abstract: Methods and apparatuses of encoding a video stream encoded using video point cloud coding include obtaining a source point cloud; generating an occupancy map including one or more pixels based on the source point cloud, an occupancy value associated with each pixel being a non-binary value; encoding the occupancy map to generate an encoded occupancy map, wherein a block of the encoded occupancy map corresponds to the one or more pixels of the occupancy map; selecting an occupancy value of the block based on the one or more pixels; and generating an encoded video stream based on the selected occupancy value.

    NODE-BASED GEOMETRY AND ATTRIBUTE CODING FOR A POINT CLOUD

    公开(公告)号:US20210248784A1

    公开(公告)日:2021-08-12

    申请号:US17084972

    申请日:2020-10-30

    Abstract: A method and apparatus for coding information of a point cloud may be performed by at least one processor and comprises: obtaining the point cloud including a set of points in a three-dimensional space; partitioning the point cloud into a tree structure comprising a plurality of nodes at different depths; encoding geometry information of the nodes; and encoding attribute information of the nodes before the entire point cloud is partitioned.

Patent Agency Ranking