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    Details
    Author(s)
    Display Name
    Hankyul Kwon
    Affiliation
    Affiliation
    Korea Advanced Institute of Science and Technology
    Display Name
    Gwangtae Park
    Affiliation
    Affiliation
    Korea Advanced Institute of Science and Technology
    Display Name
    Junha Ryu
    Affiliation
    Affiliation
    Korea Advanced Institute of Science and Technology
    Display Name
    Wooyoung Jo
    Affiliation
    Affiliation
    Korea Advanced Institute of Science and Technology
    Display Name
    Hoi-Jun Yoo
    Affiliation
    Affiliation
    Korea Advanced Institute of Science and Technology
    Abstract

    A real-time dense 3D reconstruction on lightweight AR headsets is challenging since its memory access surpasses the available memory bandwidth. The proposed processor integrates two key building blocks – Dilation-based TSDF (D-TSDF) fusion and Block-Projection (BP) engine. D-TSDF projects the depth map in pixel-to-voxel coordinate transformation and dilates it, leading to 96.61% EMA reduction. Second, a BP engine compresses occupancy grid by decomposing it into 2D, 1D vectors, achieving ×166.09 reduced memory bandwidth. The proposed processor is implemented in 28nm CMOS technology occupying 1.27 mm2 area. As a result, 96.45 fps 3D reconstruction is possible while consuming 15.94 mW power.