Point Cloud Compression
    71.
    发明申请

    公开(公告)号:US20210150765A1

    公开(公告)日:2021-05-20

    申请号:US17157833

    申请日:2021-01-25

    Applicant: Apple Inc.

    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.

    Point Cloud Compression Using Fixed-Point Numbers

    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.

    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

    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.

    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.

    Efficient still image coding with video compression techniques

    公开(公告)号:US10812832B2

    公开(公告)日:2020-10-20

    申请号:US14732393

    申请日:2015-06-05

    Applicant: Apple Inc.

    Abstract: Coding techniques for image data may cause a still image to be converted to a “phantom” video sequence, which is coded by motion compensated prediction techniques. Thus, coded video data obtained from the coding operation may include temporal prediction references between frames of the video sequence. Metadata may be generated that identifies allocations of content from the still image to the frames of the video sequence. The coded data and the metadata may be transmitted to another device, whereupon it may be decoded by motion compensated prediction techniques and converted back to a still image data. Other techniques may involve coding an image in both a base layer representation and at least one coded enhancement layer representation. The enhancement layer representation may be coded predictively with reference to the base layer representation. The coded base layer representation may be partitioned into a plurality of individually-transmittable segments and stored. Prediction references of elements of the enhancement layer representation may be confined to segments of the base layer representation that correspond to a location of those elements. Meaning, when a pixel block of an enhancement layer maps to a given segment of the base layer representation, prediction references are confined to that segment and do not reference portions of the base layer representation that may be found in other segment(s).

    HIERARCHICAL POINT CLOUD COMPRESSION
    79.
    发明申请

    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.

    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

    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.

    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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