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    Hierarchical point cloud compression
    31.
    发明授权
    Hierarchical point cloud compression 有权

    公开(公告)号：US10897269B2

    公开(公告)日：2021-01-19

    申请号：US16133674

    申请日：2018-09-17

    Applicant: Apple Inc.

    Inventor： Khaled Mammou ,  Fabrice A. Robinet ,  Alexandros Tourapis ,  Yeping Su

    IPC: H03M7/30 ,  H04N19/96 ,  H04N19/436 ,  H04N19/60 ,  H04N19/597

    Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute information for the point cloud. Attribute values for at least one starting point are included in a compressed attribute information file and attribute correction values used to correct predicted attribute values are included in the compressed attribute information file. Attribute values are predicted based, at least in part, on attribute values of neighboring points and distances between a particular point for whom an attribute value is being predicted and the neighboring points. The predicted attribute values are compared to attribute values of a point cloud prior to compression to determine attribute correction values. A decoder follows a similar prediction process as an encoder and corrects predicted values using attribute correction values included in a compressed attribute information file.

    POINT CLOUD COMPRESSION USING FIXED-POINT NUMBERS
    32.
    发明申请
    POINT CLOUD COMPRESSION USING FIXED-POINT NUMBERS 审中-公开

    公开(公告)号：US20200111236A1

    公开(公告)日：2020-04-09

    申请号：US16592711

    申请日：2019-10-03

    Applicant: Apple Inc.

    Inventor： Alexandros Tourapis ,  Valery G. Valentin ,  Fabrice A. Robinet ,  Khaled Mammou ,  Jungsun Kim ,  Yeping Su

    IPC: G06T9/00

    Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute information. Attribute values for at least one starting point are included in a compressed attribute information file and attribute correction values are included in the compressed attribute information file. Attribute values are predicted based, at least in part, on attribute values of neighboring points. The predicted attribute values are compared to attribute values of a point cloud prior to compression to determine attribute correction values. In order to improve computing efficiency and/or repeatability, fixed-point number representations are used when determining predicted attribute values and attribute correction values. A decoder follows a similar prediction process as an encoder and corrects predicted values using attribute correction values included in a compressed attribute information file using fixed-point number representations.

    Point cloud geometry compression
    33.
    发明授权
    Point cloud geometry compression 有权

    公开(公告)号：US10462485B2

    公开(公告)日：2019-10-29

    申请号：US16121501

    申请日：2018-09-04

    Applicant: Apple Inc.

    Inventor： Khaled Mammou ,  Fabrice A. Robinet ,  Andrea Cremaschi ,  Alexandros Tourapis

    IPC: H04N19/60 ,  H04N19/597 ,  H04N19/59 ,  H04N19/132 ,  H04N19/119 ,  H04N19/182 ,  H04N19/167 ,  G06T17/00

    Abstract: A system comprises an encoder configured to compress a point cloud comprising a plurality of points each point comprising spatial information for the point. The encoder is configured to sub-sample the points and determine subdivision locations for the subsampled points. Also, the encoder is configured to determine, for respective subdivision location, if a point is to be included, not included, or relocated relative to the subdivision location. The encoder encodes spatial information for the sub-sampled points and encodes subdivision location point inclusion/relocation information to generate a compressed point cloud. A decoder recreates an original or near replica of an original point cloud based on the spatial information and the subdivision location inclusion/relocation information included in the compressed point cloud.

    POINT CLOUD COMPRESSION
    34.
    发明申请
    POINT CLOUD COMPRESSION 审中-公开

    公开(公告)号：US20190087979A1

    公开(公告)日：2019-03-21

    申请号：US16132230

    申请日：2018-09-14

    Applicant: Apple Inc.

    Inventor： Khaled Mammou ,  Fabrice A. Robinet ,  Alexandros Tourapis ,  Yeping Su

    IPC: G06T9/00

    Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud.

    Real time simplification of meshes
    36.
    发明授权
    Real time simplification of meshes 有权

    公开(公告)号：US12256098B1

    公开(公告)日：2025-03-18

    申请号：US17691691

    申请日：2022-03-10

    Applicant: Apple Inc.

    Inventor： Khaled Mammou ,  Afshin Taghavi Nasrabadi ,  Maneli Noorkami ,  Fabrice A. Robinet

    IPC: H04N19/597 ,  G06T17/20 ,  H04N19/176 ,  H04N19/182

    Abstract: A decoding computing device receives a bit stream for compressed 3D volumetric content. The bit stream includes video encoded image frames comprising packed attribute patch images and depth maps for the 3D volumetric content. Instead of generating a mesh having a vertex for each depth value signaled in the depth map, the decoder performs a real-time mesh simplification process to reduce a resolution of the mesh, such that the mesh resolution is reduced without exceeding an error threshold, which may be dynamically determined. Additionally, the decoder may perform a re-meshing of particular regions of the mesh for the 3D volumetric content to avoid cracks or gaps.

    Encoding and Decoding Visual Content Including Polygonal Meshes
    39.
    发明申请
    Encoding and Decoding Visual Content Including Polygonal Meshes 有权

    公开(公告)号：US20230076939A1

    公开(公告)日：2023-03-09

    申请号：US17942032

    申请日：2022-09-09

    Applicant: Apple Inc.

    Inventor： Khaled Mammou ,  Alexandros Tourapis ,  Arnold H. Cachelin ,  David Flynn ,  Fabrice A. Robinet ,  Jungsun Kim

    IPC: G06T17/10 ,  G06T17/20 ,  G06T9/00

    Abstract: In an example method, a system obtains first data representing a plurality of polygons of a polygon mesh, and performs several operations for each of the polygons, including (i) determining a number of sample points for that polygon, where the number of sample points is determined based on at least one of an area of that polygon or an area of the polygon mesh, (ii) determining a distribution of the sample points for that polygon, and (iii) sampling the polygon mesh in accordance with the determined number of sample points and the determined distribution of sample points, where sampling the polygon mesh includes determining one or more characteristics of the polygon mesh at each of the sample points. The system also outputs second data representing the one or more characteristics of the polygon mesh at one or more of the sample points.

    Point cloud compression
    40.
    发明授权
    Point cloud compression 有权

    公开(公告)号：US11527018B2

    公开(公告)日：2022-12-13

    申请号：US17157833

    申请日：2021-01-25

    Applicant: Apple Inc.

    Inventor： Khaled Mammou ,  Fabrice A. Robinet ,  Alexandros Tourapis ,  Yeping Su

    IPC: G06T9/00 ,  H03M7/30

    Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud.

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