深度学习在基于单幅图像的物体三维重建中的应用

Application of Deep Learning to 3D Object Reconstruction From a Single Image

基于单幅图像的物体三维重建是计算机视觉领域的一个重要问题,近几十年来得到了广泛的关注.随着深度学习的不断发展,近年来基于单幅图像的物体三维重建取得了显著进展.本文对深度学习在基于单幅图像的物体三维重建领域的研究进展及具体应用进行了综述.首先介绍了基于单幅图像的三维重建的研究背景及其传统方法的研究现状,其次简要介绍了深度学习并详细综述了深度学习在基于单幅图像的物体三维重建中的应用,随后简要概述了三维物体重建的常用公共数据集,最后进行了分析与总结,指出了目前存在的问题及未来的研究方向.

3D object reconstruction from a single image is an important topic in computer vision, which has attracted enormous attention during the past decades. With the further study in deep learning, remarkable progress of 3D object reconstruction from a single image has been obtained in recent years. In this paper, we review the applications of deep learning models in the field of 3D object reconstruction from a single image. First, we introduce the research background and the current state-of-the-art of traditional methods. Then, we provide a brief overview of typical deep learning models and we describe the applications of deep learning techniques in 3D object reconstruction from a single image. After that,we list several commonly used data sets for 3D object reconstruction. Finally, we discuss current challenges and further research directions.