公开(公告)号：US11138762B2

公开(公告)日：2021-10-05

申请号：US16460962

申请日：2019-07-02

Applicant: Samsung Electronics Co., Ltd.

Inventor： Indranil Sinharoy ,  Madhukar Budagavi ,  Rajan Laxman Joshi

IPC: G06T9/00 ,  H03M7/30 ,  G06T17/20 ,  G06T3/40

Abstract: A decoding device, an encoding device and a method for point cloud decoding is disclosed. The method includes generating, for a 3D point cloud, a first 2D frame representing a first attribute and a second 2D frame representing a second attribute. The first 2D frame and the second 2D frame include respective clusters of projected points from the 3D point cloud. The method includes detecting missed points of the 3D point cloud and generating first and second additional points patches representing the first attribute and the second attribute, respectively, based on at least a subset of the missed points. The method includes including the first and second additional points patch in the first and second 2D frame, respectively. The method includes encoding the first 2D frame and the second 2D frame to generate a compressed bitstream and transmitting the compressed bitstream.

公开(公告)号：US20210209809A1

公开(公告)日：2021-07-08

申请号：US17118431

申请日：2020-12-10

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hossein Najaf-Zadeh ,  Rajan Laxman Joshi ,  Madhukar Budagavi

IPC: G06T9/00 ,  G06T17/20 ,  G06T5/00

Abstract: A method for point cloud decoding includes receiving a bitstream. The method also includes decoding the bitstream into multiple frames that include pixels. Certain pixels of the multiple frames correspond to points of a three-dimensional (3D) point cloud. The multiple frames include a first set of frames that represent locations of the points of the 3D point cloud and a second set of frames that represent attribute information for the points of the 3D point cloud. The method further includes reconstructing the 3D point cloud based on the first set of frames. Additionally, the method includes identifying a first portion of the points of the reconstructed 3D point cloud based at least in part on a property associated with the multiple frames. The method also includes modifying a portion of the attribute information. The portion of the attribute information that is modified corresponds to the first portion of the points.

公开(公告)号：US11039115B2

公开(公告)日：2021-06-15

申请号：US16706397

申请日：2019-12-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hossein Najaf-Zadeh ,  Madhukar Budagavi ,  Rajan Laxman Joshi

IPC: H04N13/15 ,  H04N13/133 ,  H04N19/167 ,  H04N19/186 ,  H04N13/161

Abstract: A method and decoder for point cloud decoding. The method includes receiving and decoding a bitstream into multiple frames that include patches corresponding to respective clusters of points from a 3D point cloud. The method also includes generating a grid that includes a plurality of 3D cells, wherein the 3D point cloud is within the grid. The method further includes identifying a first cell of the plurality of 3D cells that includes a query point corresponding to a pixel on a boundary of one of the patches. The method additionally includes identifying a luminance value of the first cell. The method also includes performing color smoothing on the query point based on comparison of the luminance value of the first cell to a threshold.

公开(公告)号：US20200219288A1

公开(公告)日：2020-07-09

申请号：US16730532

申请日：2019-12-30

Applicant: Samsung Electronics Co., Ltd.

Inventor： Rajan Laxman Joshi ,  Neha Dawar ,  Madhukar Budagavi

IPC: G06T9/00 ,  H04N19/184 ,  G06T5/20

Abstract: A decoding device, an encoding device and methods for point cloud encoding and decoding are disclosed. The method for decoding includes decoding an attribute frame, a geometry frame, and occupancy map frame from a received bitstream. The attribute and geometry frames include pixels representing points of a 3D point cloud and the occupancy map frame includes values. The method also includes generating a binary occupancy map frame based on comparing the values in the occupancy map frame to a scaling threshold to determine whether the pixels included in the attribute and geometry frames at corresponding positions in the binary occupancy map frame are valid pixels. The method further includes generating the 3D point cloud using the attribute frame, the geometry frame, and the binary occupancy map frame.