Attention-Based Method for Deep Point Cloud Compression

    公开(公告)号:US20240282014A1

    公开(公告)日:2024-08-22

    申请号:US18637212

    申请日:2024-04-16

    IPC分类号: G06T9/00 G06T9/40

    CPC分类号: G06T9/002 G06T9/40

    摘要: Methods and apparatuses are provided for entropy encoding and decoding data of a three-dimensional point cloud, which includes for a current node in an N-ary tree-structure representing the three-dimensional point cloud, extracting features of a set of the neighboring nodes of the current node by applying a neural network including an attention layer. Probabilities of information associated with the current node is estimated based on the extracted features. The information associated with the current node is entropy encoded based on the estimated probabilities.

    Method and apparatus for Haar-based point cloud coding

    公开(公告)号:US12020461B2

    公开(公告)日:2024-06-25

    申请号:US17446263

    申请日:2021-08-27

    IPC分类号: G06T9/40 H04N19/60

    摘要: In a method of point cloud attribute decoding in a point cloud decoder, a sorting method of a set of points of a point is determined. A quantization parameter for quantizing transform coefficients of a Haar-based attribute coding of the point cloud is determined based on first signaling information in a coded bitstream of the point cloud. The Haar-based attribute coding is configured to perform point cloud compression on the set of points of the point cloud based on a Haar transform. An entropy decoding method for decoding the quantized transform coefficients is determined according to the quantization parameter that is determined based on the first signaling information. The quantized transform coefficients are further determined based on the entropy decoding method. Attributes of the point cloud are reconstructed based on the determined sorting method and the determined quantized transform coefficients.

    Information processing device and method

    公开(公告)号:US11991348B2

    公开(公告)日:2024-05-21

    申请号:US17620412

    申请日:2020-06-11

    摘要: The present disclosure relates to an information processing device and a method capable of suppressing a reduction in encoding efficiency of point cloud data. As for a point cloud representing an object having a three-dimensional shape as a point group, position information of a point to be processed is predicted on the basis of position information of a reference point, position information of a prediction point is generated, a difference between the generated position information of the prediction point and the position information of the point to be processed is derived, the derived difference is encoded, and a bitstream is generated. The present disclosure may be applied to, for example, an information processing device, an electronic device, an information processing method, a program or the like.