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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.
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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
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.
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公开(公告)号：US20200053391A1
公开(公告)日：2020-02-13
申请号：US16569433
申请日：2019-09-12
Applicant: Apple Inc.
Inventor： Khaled Mammou , Fabrice A. Robinet , Andrea Cremaschi , Alexandros Tourapis
IPC: H04N19/597 , H04N19/59 , H04N19/182 , H04N19/167 , H04N19/132 , G06T17/00 , H04N19/119
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.
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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.
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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
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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Patent Agency Ranking
公开(公告)号：US20190081638A1
公开(公告)日：2019-03-14
申请号：US16133674
申请日：2018-09-17
Applicant: Apple Inc.
Inventor： Khaled Mammou , Fabrice A. Robinet , Alexandros Tourapis , Yeping Su
IPC: H03M7/30 , H04N19/60 , H04N19/436 , H04N19/96
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.
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公开(公告)号：US20190080483A1
公开(公告)日：2019-03-14
申请号：US16130949
申请日：2018-09-13
Applicant: Apple Inc.
Inventor： Khaled Mammou , Fabrice A. Robinet
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.
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公开(公告)号：US11948338B1
公开(公告)日：2024-04-02
申请号：US17691754
申请日：2022-03-10
Applicant: Apple Inc.
Inventor： Khaled Mammou , Fabrice A. Robinet , Maneli Noorkami , Afshin Taghavi Nasrabadi
IPC: G06T9/00 , G06T3/40 , G06T3/4023 , G06T15/10 , G06T17/20
CPC classification number: G06T9/001 , G06T3/4023 , G06T15/10 , G06T17/205 , G06T2200/04 , G06T2200/08 , G06T2210/08
Abstract: An encoder encodes three-dimensional (3D) volumetric content, such as immersive media, using video encoded attribute patch images packed into a 2D atlas to communicate the attribute values for the 3D volumetric content. The encoder also uses mesh-encoded sub-meshes to communicate geometry information for portions of the 3D object or scene corresponding to the attribute patch images packed into the 2D atlas. The encoder applies decimation operations to the sub-meshes to simplify the sub-meshes before mesh encoding the sub-meshes. A distortion analysis is performed to bound the level to which the sub-meshes are simplified at the encoder. Mesh simplification at the encoder reduces the number of vertices and edges included in the sub-meshes which simplifies rendering at a decoder receiving the encoded 3D volumetric content.
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公开(公告)号：US11935272B2
公开(公告)日：2024-03-19
申请号：US17937381
申请日：2022-09-30
Applicant: Apple Inc.
Inventor： Khaled Mammou , Fabrice A. Robinet
IPC: G06T9/40 , G06T7/50 , G06T17/00 , H04N19/186 , H04N19/44 , H04N19/593 , H04N19/90 , H04N19/91 , H04N19/96
CPC classification number: G06T9/40 , G06T3/4007 , G06T7/50 , G06T17/005 , H04N19/186 , H04N19/45 , H04N19/593 , H04N19/90 , H04N19/91 , H04N19/96 , G06T2207/10028
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.
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公开(公告)号：US20230319310A1
公开(公告)日：2023-10-05
申请号：US18328954
申请日：2023-06-05
Applicant: Apple Inc.
Inventor： Alexandros Tourapis , Jungsun Kim , Khaled Mammou , David W. Singer , Fabrice A. Robinet
IPC: H04N19/597 , H04N19/467 , H04N21/81 , H04N19/20 , G06T7/10
CPC classification number: H04N19/597 , H04N19/467 , H04N21/8193 , H04N19/20 , G06T7/10
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.
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