PREDICTING ATTRIBUTES FOR POINT CLOUD COMPRESSION ACCORDING TO A SPACE FILLING CURVE

    公开(公告)号:US20210097722A1

    公开(公告)日:2021-04-01

    申请号:US16586785

    申请日:2019-09-27

    Applicant: Apple Inc.

    Abstract: Attributes for point cloud compression may be predicted according to a space filling curve. An order for selecting points of a point cloud to be compressed in order to predict attributes of the points may be determined according to values of a space filling curve applied to spatial information for the points. A point of the point cloud may be selected according to the determined ordering. A prediction technique may be performed with respect to the selected point based on a set of neighboring points in the point cloud also selected according to the ordering. Predicted attribute values and correction values may be determined for the predicted values. The correction values may be encoded as part of a compressed version of the point cloud.

    COMPRESSION WITH MULTI-LEVEL ENCODING
    52.
    发明申请

    公开(公告)号:US20200007867A1

    公开(公告)日:2020-01-02

    申请号:US16459485

    申请日:2019-07-01

    Applicant: Apple Inc.

    Abstract: A system comprises an encoder configured to compress images, such as image frames comprising attribute information and/or spatial for a point cloud and/or an occupancy map for the point cloud. Also, a system includes a decoder configured to decompress compressed image frames, such as image frames comprising compressed attribute and/or spatial information for the point cloud or an occupancy map for the point cloud. Additionally, the encoder may map N-bit data to M-bit code words, where M is less than N. Alternatively the encoder may map N-bit data to M-bit code words, where M is greater than N. In a similar manner, a decoder may map the M-bit code words back to the N-bit data.

    HIERARCHICAL POINT CLOUD COMPRESSION WITH SMOOTHING

    公开(公告)号:US20190311501A1

    公开(公告)日:2019-10-10

    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.

    POINT CLOUD COMPRESSION
    55.
    发明申请

    公开(公告)号:US20190311500A1

    公开(公告)日:2019-10-10

    申请号:US16380928

    申请日:2019-04-10

    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. In some embodiments, an encoder may be configured to further compress points omitted from the image based representation. Also, in some embodiments, a decoder may be configured to decode points compressed outside of an image based representation or in a separate image based representation.

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