Predicting attributes for point cloud compression according to a space filling curve

    公开(公告)号:US11132818B2

    公开(公告)日:2021-09-28

    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.

    Adaptive Distance Based Point Cloud Compression

    公开(公告)号:US20210264640A1

    公开(公告)日:2021-08-26

    申请号:US17318273

    申请日:2021-05-12

    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.

    Hierarchical Point Cloud Compression

    公开(公告)号:US20210258617A1

    公开(公告)日:2021-08-19

    申请号:US17163204

    申请日:2021-01-29

    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.

    Hierarchical Point Cloud Compression with Smoothing

    公开(公告)号:US20210183112A1

    公开(公告)日:2021-06-17

    申请号:US17163194

    申请日:2021-01-29

    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.

    Bit stream structure for compressed point cloud data

    公开(公告)号:US11012713B2

    公开(公告)日:2021-05-18

    申请号:US16510706

    申请日:2019-07-12

    Applicant: Apple Inc.

    Abstract: A system comprises an encoder configured to compress attribute information and/or spatial information 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, a bit stream structure may be used to communicate compressed point cloud data. The bit stream structure may include point cloud compression network abstraction layer (PCCNAL) units that enable use of groups of frames (GOFs), frame, and sub-frame signaling of patch information. Such a bit stream structure may permit low delay streaming and random access reconstruction of point clouds amongst other applications.

    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.

    BIT STREAM STRUCTURE FOR COMPRESSED POINT CLOUD DATA

    公开(公告)号:US20200021847A1

    公开(公告)日:2020-01-16

    申请号:US16510706

    申请日:2019-07-12

    Applicant: Apple Inc.

    Abstract: A system comprises an encoder configured to compress attribute information and/or spatial information 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, a bit stream structure may be used to communicate compressed point cloud data. The bit stream structure may include point cloud compression network abstraction layer (PCCNAL) units that enable use of groups of frames (GOFs), frame, and sub-frame signaling of patch information. Such a bit stream structure may permit low delay streaming and random access reconstruction of point clouds amongst other applications.

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