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    Point cloud compression using fixed-point numbers
    2.
    发明授权
    Point cloud compression using fixed-point numbers 有权

    公开(公告)号：US11276203B2

    公开(公告)日：2022-03-15

    申请号：US17104383

    申请日：2020-11-25

    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 Compression
    4.
    发明申请
    Point Cloud Compression 有权

    公开(公告)号：US20210185331A1

    公开(公告)日：2021-06-17

    申请号：US17187439

    申请日：2021-02-26

    Applicant: Apple Inc.

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

    IPC: H04N19/20 ,  H04N19/597 ,  H04N19/46 ,  H04N19/174 ,  G06T7/11 ,  G06T7/246

    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. The encoder generates an occupancy map and may also encode the occupancy map as an image based representation. In some embodiments, a video encoder encodes image based representations of spatial information for the points of the point cloud, image based representations of attribute values for points of the point cloud, and an image based representation of an occupancy map for the spatial and attribute images.

    Point Cloud Compression Using Fixed-Point Numbers
    5.
    发明申请
    Point Cloud Compression Using Fixed-Point Numbers 有权

    公开(公告)号：US20210082152A1

    公开(公告)日：2021-03-18

    申请号：US17104383

    申请日：2020-11-25

    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.

    Hierarchical point cloud compression with smoothing
    6.
    发明授权
    Hierarchical point cloud compression with smoothing 有权

    公开(公告)号：US10909727B2

    公开(公告)日：2021-02-02

    申请号：US16380930

    申请日：2019-04-10

    Applicant: Apple Inc.

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

    IPC: G06T9/00 ,  G06T17/00

    Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, multiple levels of detail are generated based on spatial information. Also, attribute values are predicted based on the level of details. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, an update operation is performed to smooth attribute correction values taking into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.

    HIERARCHICAL POINT CLOUD COMPRESSION
    7.
    发明申请
    HIERARCHICAL POINT CLOUD COMPRESSION 审中-公开

    公开(公告)号：US20200021856A1

    公开(公告)日：2020-01-16

    申请号：US16508202

    申请日：2019-07-10

    Applicant: Apple Inc.

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

    IPC: H04N19/91 ,  H04N19/20 ,  G06T9/00 ,  H04N19/13 ,  H04N19/124

    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. To compress the attribute information, multiple levels of detail are generated based on an ordering of the points according to a space filling curve and attribute values are predicted. The attribute values may be predicted simultaneously while points are being assigned to different levels of detail. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, attribute correction values may take into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.

    ADAPTIVE DISTANCE BASED POINT CLOUD COMPRESSION
    8.
    发明申请
    ADAPTIVE DISTANCE BASED POINT CLOUD COMPRESSION 审中-公开

    公开(公告)号：US20190311499A1

    公开(公告)日：2019-10-10

    申请号：US16380920

    申请日：2019-04-10

    Applicant: Apple Inc.

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

    IPC: G06T9/00 ,  G06T7/50

    Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, attribute values are predicted using one of a plurality of prediction strategies, wherein a selected prediction strategy is selected based at least in part on attribute variability of points in a neighborhood of points. A decoder follows a similar prediction process. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud, wherein the decoder applies the same prediction strategy applied at the encoder.

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