Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Image-Based 3D object reconstruction: State-of-the-Art and trends in the deep learning era

Han, X-F, Laga, H.ORCID: 0000-0002-4758-7510 and Bennamoun, M. (2021) Image-Based 3D object reconstruction: State-of-the-Art and trends in the deep learning era. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (5). pp. 1578-1604.

Link to Published Version: https://doi.org/10.1109/TPAMI.2019.2954885
*Subscription may be required

Abstract

3D reconstruction is a longstanding ill-posed problem, which has been explored for decades by the computer vision, computer graphics, and machine learning communities. Since 2015, image-based 3D reconstruction using convolutional neural networks (CNN) has attracted increasing interest and demonstrated an impressive performance. Given this new era of rapid evolution, this article provides a comprehensive survey of the recent developments in this field. We focus on the works which use deep learning techniques to estimate the 3D shape of generic objects either from a single or multiple RGB images. We organize the literature based on the shape representations, the network architectures, and the training mechanisms they use. While this survey is intended for methods which reconstruct generic objects, we also review some of the recent works which focus on specific object classes such as human body shapes and faces. We provide an analysis and comparison of the performance of some key papers, summarize some of the open problems in this field, and discuss promising directions for future research.

Item Type: Journal Article
Murdoch Affiliation(s): Information Technology, Mathematics and Statistics
Publisher: IEEE
Copyright: © 2021 IEEE
URI: http://researchrepository.murdoch.edu.au/id/eprint/60432
Item Control Page Item Control Page