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Home All issues Volume 16 (2025) Int. J. Simul. Multidisci. Des. Optim., 16 (2025) 14 References
Issue
Int. J. Simul. Multidisci. Des. Optim.
Volume 16, 2025
Multi-modal Information Learning and Analytics on Cross-Media Data Integration
Article Number 14
Number of page(s) 21
DOI https://doi.org/10.1051/smdo/2025015
Published online 21 October 2025
  1. P. Maken, A. Gupta, 2D-to-3D: a review for computational 3D image reconstruction from X-ray images, Arch. Comput. Methods Eng. 30, 85–114 (2023) [Google Scholar]
  2. G. Yao, Z. Wang, G. Wei, F. Zhu, Q. Fu, Q. Yu, M. Wei, Multi-view three-dimensional reconstruction based on feature enhancement and weight optimization network, ISPRS Int. J. Geo-Inform. 14, 43–58 (2025) [Google Scholar]
  3. R. Jia, X. Chen, J. Cui, Z. Hu, MVS-T: a coarse-to-fine multi-view stereo network with transformer for low-resolution images 3D reconstruction, Sensors 22, 7659–7673 (2022) [Google Scholar]
  4. L.I. Xiangyu, Z.H.A.N.G. Xueqin, ORBTSDF-SCNet: an online 3D reconstruction method for dynamic scene, J. East China Univ. Sci. Technol. 49, 284–294 (2023) [Google Scholar]
  5. F. Luo, Y. Zhu, Y. Fu, H. Zhou, Z. Chen, C. Xiao, Sparse rgb-d images create a real thing: a flexible voxel based 3d reconstruction pipeline for single object, Visual Inform. 7, 66–76 (2023) [Google Scholar]
  6. Z. Li, M. Oskarsson, A. Heyden, Detailed 3D human body reconstruction from multi-view images combining voxel super-resolution and learned implicit representation, Appl. Intell. 52, 6739–6759 (2022) [Google Scholar]
  7. Y. Feng, R. Wu, X. Liu, L. Chen, Three-dimensional reconstruction based on multiple views of structured light projectors and point cloud registration noise removal for fusion, Sensors 23, 8675–8692 (2023) [Google Scholar]
  8. H. Luo, C. Pape, E. Reithmeier, Scale-aware multi-view reconstruction using an active triple-camera system, Sensors 20, 6726–6749 (2020) [Google Scholar]
  9. M. Chen, Z. Duan, Z. Lan, S. Yi, Scene reconstruction algorithm for unstructured weak-texture regions based on stereo vision, Appl. Sci. 13, 6407–6432 (2023) [Google Scholar]
  10. M. Oliveira, G.H. Lim, T. Madeira, P. Dias, V. Santos, Robust texture mapping using rgb-d cameras, Sensors 21, 3248–3270 (2021) [Google Scholar]
  11. T.J. Mu, H.X. Chen, J.X. Cai, N. Guo, Neural 3D reconstruction from sparse views using geometric priors, Comput. Visual Media 9, 687–697 (2023) [Google Scholar]
  12. Q. Zhou, J. Zuo, W. Kang, M. Ren, High-precision 3D reconstruction in complex scenes via implicit surface reconstruction enhanced by multi-sensor data fusion, Sensors 25, 2820–2841 (2025) [Google Scholar]
  13. N. Luo, L. Huang, Q. Wang, G. Liu, An improved algorithm robust to illumination variations for reconstructing point cloud models from images, Remote Sens. 13, 567–588 (2021) [Google Scholar]
  14. T. Madeira, M. Oliveira, P. Dias, Neural colour correction for indoor 3D reconstruction using RGB-D data, Sensors (Basel, Switzerland) 24, 4141–4152 (2024) [Google Scholar]
  15. G. Nayak Seetanadi, K.E. Årzen, M. Maggio, Control-based event-driven bandwidth allocation scheme for video-surveillance systems, Cyber-Phys. Syst. 8, 111–137 (2021) [Google Scholar]
  16. B. Yogi, S. Roy, A.K. Khan et al., IELTSoC: enhanced image encryption using combined logistic and Tinkerbell maps with second order cellular automata for internet of things, Discov. Internet Things 5, 78 (2025) [Google Scholar]
  17. H. Jianfeng et al., Enhanced YOLOv11 for image-based anomaly detection in freight train gate chains, Int. J. Intell. Inform. Technolog. 21, 1–18 (2025) [Google Scholar]
  18. P. Velagapalli, N. Parveen, Concurrent attentional reconstruction network for 3D point cloud reconstruction from single image, Appl. Soft Comput. 172, 112821 (2025) [Google Scholar]
  19. B. Cui, W. Tao, H. Zhao, High-precision 3D reconstruction for small-to-medium-sized objects utilizing line-structured light scanning: a review, Remote Sens. 13, 4457–4490 (2021) [Google Scholar]
  20. Z. Hong, Y. Yang, J. Liu, S. Jiang, H. Pan, R. Zhou, C. Zhong, Enhancing 3D reconstruction model by deep learning and its application in building damage assessment after earthquake, Appl. Sci. 12, 9790–9804 (2022) [Google Scholar]
  21. J.T.S. Phang, K.H. Lim, R.C.W. Chiong, A review of three dimensional reconstruction techniques, Multimedia Tools Appl. 80, 17879–17891 (2021) [Google Scholar]
  22. K. Fu, J. Peng, Q. He, H. Zhang, Single image 3D object reconstruction based on deep learning: a review, Multimedia Tools Appl. 80, 463–498 (2021) [Google Scholar]
  23. Y. Lee, Three-dimensional dense reconstruction: a review of algorithms and datasets, Sensors 24, 5861–5882 (2024) [Google Scholar]
  24. X. Zhang, Z. Zheng, D. Gao, B. Zhang, Y. Yang, T.S. Chua, Multi-view consistent generative adversarial networks for compositional 3d-aware image synthesis, Int. J. Computer Vision 131, 2219–2242 (2023) [Google Scholar]
  25. L. Zhou, Z. Zhang, H. Jiang, H. Sun, H. Bao, G. Zhang, DP-MVS: detail preserving multi-view surface reconstruction of large-scale scenes, Remote Sens. 13, 4569–4589 (2021) [NASA ADS] [CrossRef] [Google Scholar]
  26. V. Leroy, J.S. Franco, E. Boyer, Volume sweeping: learning photoconsistency for multi-view shape reconstruction, Int. J. Comput. Vision 129, 284–299 (2021) [Google Scholar]
  27. H. Zhang, Y. Zhang, L. Zhu, W. Lin, Deep learning-based perceptual video quality enhancement for 3D synthesized view, IEEE Trans. Circ. Syst. Video Technol. 32, 5080–5094 (2022) [Google Scholar]
  28. Z. Xia, Q. Han, Y. Zhang, Y. Zhang, F. Hu, Objective quantification of dynamic spatial distortions for enhanced realism in virtual environments, Virtual Real. 29, 1–10 (2025) [Google Scholar]
  29. S. Coskun, G. Nur Yilmaz, F. Battisti, M. Alhussein, S. Islam, Measuring 3D video quality of experience (QoE) using a hybrid metric based on spatial resolution and depth cues, J. Imag. 9, 281–309 (2023) [Google Scholar]
  30. L. Shen, Y. Yao, X. Geng, R. Fang, D. Wu, A novel no-reference quality assessment metric for stereoscopic images with consideration of comprehensive 3D quality information, Sensors 23, 6230–6254 (2023) [Google Scholar]
  31. S. Jiang, K. You, Y. Li, D. Weng, W. Chen, 3D reconstruction of spherical images: a review of techniques, applications, and prospects, Geo-spatial Inform. Sci. 27, 1959–1988 (2024) [Google Scholar]
  32. W. Zhou, L. Yuan, T. Mu, Multi3D: 3D-aware multimodal image synthesis, Comput. Visual Media 10, 1205–1217 (2024) [Google Scholar]
  33. Q. Jia, L. Chang, B. Qiang, S. Zhang, W. Xie, X. Yang, M. Yang, Real-time 3D reconstruction method based on monocular vision, Sensors 21, 5909–5926 (2021) [Google Scholar]
  34. F.E. Fadzli, A.W. Ismail, S. Abd Karim, M.N.A. Nor’a Ishigaki, M.Y.F. Aladin, Real-time 3D reconstruction method for holographic telepresence, Appl. Sci. 12, 4009–4024 (2022) [Google Scholar]

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