Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1000003(2025)
Review of Deep Learning-Based 3D Reconstruction
[3] Jia J L, Ying R D, Pan G H et al. 3D reconstruction based on ToF camera[J]. Computer Applications and Software, 37, 127-131(2020).
[5] Chen M F, Xu X P, Ai Z Q et al. Mesh refinement combined with shape from shading[J]. Laser & Optoelectronics Progress, 60, 2010002(2023).
[7] Yang X L, Xu Y H, Ye L J et al. Research progress on binocular stereo vision applications[J]. Laser & Optoelectronics Progress, 60, 0811010(2023).
[9] Wang Z Q, Niu C Y, She W et al. Progress of study on 3D reconstruction technology based on passive vision[J]. Journal of Zhengzhou University (Natural Science Edition), 56, 13-19(2024).
[10] Hartley R, Zisserman A[M]. Multiple view geometry in computer vision(2002).
[31] Chen H, Tong Y, Zhu L et al. 3D reconstruction and semantic segmentation method combining PointNet and 3D-LMNet from single image[J]. Laser & Optoelectronics Progress, 59, 1815010(2022).
[38] Engel N, Belagiannis V, Dietmayer K. Point transformer[J]. IEEE Access, 9, 134826-134840(2021).
[52] Li J Q, Wang H, Guo Y. Classification and segmentation network based on Transformer for triangular mesh[J]. Journal of Graphics, 45, 78-89(2024).
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Wanyun Li, Yasheng Zhang, Yuqiang Fang, Qinyu Zhu, Xinli Zhu. Review of Deep Learning-Based 3D Reconstruction[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1000003
Category: Reviews
Received: Sep. 24, 2024
Accepted: Nov. 15, 2024
Published Online: Apr. 23, 2025
The Author Email: Yuqiang Fang (fangyuqiang@nudt.edu.cn)
CSTR:32186.14.LOP242030