Semantic Scholar Open Access 2023 61 sitasi

Overview of Underwater 3D Reconstruction Technology Based on Optical Images

Kai Hu Tianyan Wang Chaowen Shen Chenghang Weng Fenghua Zhou +2 lainnya

Abstrak

At present, 3D reconstruction technology is being gradually applied to underwater scenes and has become a hot research direction that is vital to human ocean exploration and development. Due to the rapid development of computer vision in recent years, optical image 3D reconstruction has become the mainstream method. Therefore, this paper focuses on optical image 3D reconstruction methods in the underwater environment. However, due to the wide application of sonar in underwater 3D reconstruction, this paper also introduces and summarizes the underwater 3D reconstruction based on acoustic image and optical–acoustic image fusion methods. First, this paper uses the Citespace software to visually analyze the existing literature of underwater images and intuitively analyze the hotspots and key research directions in this field. Second, the particularity of underwater environments compared with conventional systems is introduced. Two scientific problems are emphasized by engineering problems encountered in optical image reconstruction: underwater image degradation and the calibration of underwater cameras. Then, in the main part of this paper, we focus on the underwater 3D reconstruction methods based on optical images, acoustic images and optical–acoustic image fusion, reviewing the literature and classifying the existing solutions. Finally, potential advancements in this field in the future are considered.

Penulis (7)

K

Kai Hu

T

Tianyan Wang

C

Chaowen Shen

C

Chenghang Weng

F

Fenghua Zhou

M

Min Xia

L

L. Weng

Format Sitasi

Hu, K., Wang, T., Shen, C., Weng, C., Zhou, F., Xia, M. et al. (2023). Overview of Underwater 3D Reconstruction Technology Based on Optical Images. https://doi.org/10.3390/jmse11050949

Akses Cepat

Lihat di Sumber doi.org/10.3390/jmse11050949
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
61×
Sumber Database
Semantic Scholar
DOI
10.3390/jmse11050949
Akses
Open Access ✓