Abstract: Transparent objects are a common part of daily life, but their unique optical properties make estimating their 6D pose a challenging task. In this letter, we propose TGF-Net, a monocular ...
This document details an automated pipeline designed to convert raw 3D point cloud data of indoor environments into structured, two-dimensional floor plans. The core challenge lies in translating an ...
Abstract: In this article, a novel artificial neural network named residual U-Net (ResU-Net) is proposed to directly reconstruct 3-D dielectric anisotropic objects from scattered electromagnetic field ...
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