Abstract
Three-dimensional (3D) reconstruction is an important field of computer vision. Though Image-based 3D reconstruction is more widely used due to its low environmental requirements, current research on 3D reconstruction based on the depth image is still very limited and many aspects need improvements. This paper reviews the basic process of 3D reconstruction technology based on the depth image and introduces relevant technologies in detail. The core algorithms and methods are analyzed by comparing advantages and disadvantages and representative research works in recent years are concluded. Furthermore, future research prospects of 3D reconstruction based on the depth image are proposed by analysis of hot spots, difficulties, and possible development trends in technical research to provide support for relevant researchers.
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Acknowledgments
This work was supported by National Natural Science Foundation of China under Grant Number: 52130403, Fundamental Research Funds for the Central Universities under Grant Number: N2017003.
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Mi, Q., Gao, T. (2022). 3D Reconstruction Based on the Depth Image: A Review. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2022. Lecture Notes in Networks and Systems, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-08819-3_17
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