3D POINT CLOUD-BASED DEEP LEARNING NEURAL NETWORK ACCELERATION APPARATUS AND METHOD

    公开(公告)号:US20230376756A1

    公开(公告)日:2023-11-23

    申请号:US18199995

    申请日:2023-05-22

    CPC classification number: G06N3/08

    Abstract: Disclosed is a 3D point cloud-based deep learning neural network acceleration apparatus including a depth image input unit configured to receive a depth image, a depth data storage unit configured to store depth data derived from the depth image, a sampling unit configured to sample the depth image in units of a sampling window having a predetermined first size, a grouping unit configured to generate a grouping window having a predetermined second size and to group inner 3D point data by grouping window, and a convolution computation unit configured to separate point feature data and group feature data, among channel-direction data of 3D point data constituting the depth image, to perform convolution computation with respect to the point feature data and the group feature data, to sum the results of convolution computation by group grouped by the grouping unit, and to derive the final result.

    CONJUGATE GRADIENT ACCELERATION APPARATUS USING BAND MATRIX COMPRESSION IN DEPTH FUSION TECHNOLOGY

    公开(公告)号:US20240078282A1

    公开(公告)日:2024-03-07

    申请号:US18139952

    申请日:2023-04-27

    CPC classification number: G06F17/16 G06T7/521 H04N19/174

    Abstract: Disclosed is a conjugate gradient acceleration apparatus using band matrix compression in depth fusion technology including a band matrix conversion unit configured to convert an adjacency matrix for correcting depth data acquired from data of an image sensor through deep learning based on depth information acquired from a depth sensor into a band matrix using rows of the adjacency matrix as addresses of query points and columns of the adjacency matrix as the nearest neighbors at the query points, a band matrix compression unit configured to mark an index on each band in order to compress the band matrix and to compress data, a memory unit configured to store tile data of the band matrix, and a band matrix calculation unit configured to perform computation of the band matrix and a transposed band matrix or computation of a symmetric band matrix with respect to the band matrix and a vector.

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