3D shape completion using multilayer spherical depth parameters

Abstract

3D shape completion plays a crucial role in transforming the distorted real world data to the digital data which represents the original data accurately. In recent times, there has been several works on 3D shape completion with deep learning models. Due to the input requirements of deep learning models, it is necessary to form the input data into a specific format before feeding into the network. In this work, Multilayer Spherical Depth Parameters used with a specific deep learning model for 3D shape completion and its highly accurate results will be presented. © 2021 IEEE.