ENCODING AND DECODING VISUAL CONTENT INCLUDING POLYGONAL MESHES

    公开(公告)号:WO2023039507A1

    公开(公告)日:2023-03-16

    申请号:PCT/US2022/076168

    申请日:2022-09-09

    Applicant: APPLE INC.

    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 WITH SUPPLEMENTAL INFORMATION MESSAGES

    公开(公告)号:WO2021003229A1

    公开(公告)日:2021-01-07

    申请号:PCT/US2020/040438

    申请日:2020-07-01

    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. Additionally, an encoder is configured to signal and/or a decoder is configured to receive a supplementary message comprising volumetric tiling information that maps portions of 2D image representations to objects in the point. In some embodiments, characteristics of the object may additionally be signaled using the supplementary message or additional supplementary messages.

    POINT CLOUD COMPRESSION
    3.
    发明申请

    公开(公告)号:WO2019055772A1

    公开(公告)日:2019-03-21

    申请号:PCT/US2018/051062

    申请日:2018-09-14

    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. 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 GEOMETRY COMPRESSION
    4.
    发明申请

    公开(公告)号:WO2019050931A1

    公开(公告)日:2019-03-14

    申请号:PCT/US2018/049523

    申请日:2018-09-05

    Applicant: APPLE INC.

    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.

    IN-TREE GEOMETRY QUANTIZATION OF POINT CLOUDS

    公开(公告)号:WO2021142362A1

    公开(公告)日:2021-07-15

    申请号:PCT/US2021/012828

    申请日:2021-01-08

    Abstract: An example device includes one or more processors, and memory storing instructions that when executed by the processors, cause the processors to receive points that represent a point cloud in three-dimensional space, and generate a data structure representing the point cloud. Generating the data structure includes encoding a position of each point in each dimension as a sequence of bits according to a tree data structure; partitioning each of the sequences into two or more portions according to a scaling depth; determining that a subset of the points is spatially isolated from a remainder of the points; quantizing each of the portions associated with the subset of the points according to a first quantization step size; quantizing each of the portions associated with the remainder of the points according to a second quantization step size; and including the quantized portions in the data structure.

    IN-TREE GEOMETRY QUANTIZATION OF POINT CLOUDS

    公开(公告)号:WO2021142361A1

    公开(公告)日:2021-07-15

    申请号:PCT/US2021/012827

    申请日:2021-01-08

    Abstract: An example method includes receiving (502) a plurality of points that represent a point cloud; representing a position of the point in each dimension of a three-dimensional space as a sequence of bits (504), where the position of the point is encoded according to a tree data structure; partitioning (506) at least one of the sequences of bits into a first portion of bits and a second portion of bits; quantizing (508) each of the second portions of bits according to a quantization step size, where the quantization step size is determined according to an exponential function having a quantization parameter value as an input and the quantization step size as an output; and generating (510) a data structure representing the point cloud and including the quantized second portions of bits.

    POINT CLOUD COMPRESSION
    7.
    发明申请

    公开(公告)号:WO2019055963A1

    公开(公告)日:2019-03-21

    申请号:PCT/US2018/051448

    申请日:2018-09-18

    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.

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