3D Reconstruction From Traditional Methods to Deep Learning

IF 3.7 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Cloud Computing-Advances Systems and Applications Pub Date : 2023-07-01 DOI:10.1109/CSCloud-EdgeCom58631.2023.00072

Lan Yang, Chaoyi Yang, Rui Xie, Jingnian Liu, Huan Zhang, Wenjin Tan

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引用次数: 0

Abstract

Vision is one of the important pathways for human perception of external information, with over 80% of perception being acquired through vision. How to enable computers to possess efficient and flexible visual systems similar to humans has always been a hot topic in the field of computer science. One of the main goals of computer vision research is to reconstruct the geometric structure of 3D objects visible on the visible surfaces from 2D photos. Recently, this technology has become mature enough and its applications range from autonomous driving, virtual reality, cultural heritage preservation and restoration, among others, with significant research value. In this paper, we summarize the key technical issues in 3D reconstruction from existing technologies, first by summarizing traditional methods of 3D reconstruction, then analyzing commonly used deep learning methods for 3D reconstruction and their application scenarios in different fields. Finally, we conclude and provide an outlook on future development directions.

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从传统方法到深度学习的三维重建

视觉是人类感知外部信息的重要途径之一，80%以上的感知是通过视觉获得的。如何使计算机具有与人类相似的高效、灵活的视觉系统一直是计算机科学领域的研究热点。计算机视觉研究的主要目标之一是从二维照片中重建可见表面上可见的三维物体的几何结构。近年来，该技术已经足够成熟，其应用范围涵盖自动驾驶、虚拟现实、文化遗产保护和修复等领域，具有重要的研究价值。本文从现有技术出发，总结了三维重建中的关键技术问题，首先总结了传统的三维重建方法，然后分析了常用的三维重建深度学习方法及其在不同领域的应用场景。最后，对未来的发展方向进行了总结和展望。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Cloud Computing-Advances Systems and Applications Computer Science-Computer Networks and Communications

CiteScore

6.80

自引率

7.50%

发文量

审稿时长

75 days

期刊介绍： The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future. Comprehensive review and survey articles that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.