ReviewSensors (Basel, Switzerland)2024
A Comprehensive Review of Vision-Based 3D Reconstruction Methods.
Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 90 citations in OpenAlex.
- A comparative analysis of artificial intelligence generated 3d facial models from 2D photos: A procrustes-based validation of landmark accuracy in Orthodontics.Seminars in orthodontics · 2026Article
- Multimodal Feature-Level Fusion CBAM U-Net for Static Plantar Pressure Prediction Using Plantar Geometry and Sparse Anatomical Landmarks.Sensors (Basel, Switzerland) · 2026Article
- Three-Dimensional Reconstruction and Real-Time Deformation of Flexible Bodies: A Scoping Review (2009-2025).Sensors (Basel, Switzerland) · 2026Review
- Real-Time Markerless Tooth Detection Towards Dynamic Robot-Assisted Dental Implant Navigation.Dentistry journal · 2026Article
- Plant3R: Fusing 3D feature learning with Gaussian splatting to enhance wheat plant 3D reconstruction precision.Plant phenomics (Washington, D.C.) · 2026Article
- A Multi-Dimensional Vision-Based System for External Thread Defect Detection with Integrated Security Defense.Sensors (Basel, Switzerland) · 2026Article
- Advancements in 3D Reconstruction for Plant Phenotyping: Technologies, Applications, Challenges, and Future Directions.Sensors (Basel, Switzerland) · 2026Review
- A smart monocular vision metrology system based on computer for standing long jump.Scientific reports · 2026Article
- 2D-to-3D Image Reconstruction in Agriculture: A Review of Methods, Challenges, and AI-Driven Opportunities.Sensors (Basel, Switzerland) · 2026Review
- Three-dimensional phenotyping: Technological advances and applications in genomics-assisted crop breeding.Plant communications · 2026Review
- Editorial on the Special Issue "Geometry Reconstruction from Images (2nd Edition)".Journal of imaging · 2025Article
- A Survey of 3D Reconstruction: The Evolution from Multi-View Geometry to NeRF and 3DGS.Sensors (Basel, Switzerland) · 2025Review
- A Stereo Synchronization Method for Consumer-Grade Video Cameras to Measure Multi-Target 3D Displacement Using Image Processing in Shake Table Experiments.Sensors (Basel, Switzerland) · 2025Article
- Meso-Structural Modeling of Asphalt Mixtures Using Computed Tomography and Discrete Element Method with Indirect Tensile Testing.Materials (Basel, Switzerland) · 2025Article
- A Review of Optical-Based Three-Dimensional Reconstruction and Multi-Source Fusion for Plant Phenotyping.Sensors (Basel, Switzerland) · 2025Review
- Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System.Sensors (Basel, Switzerland) · 2025Article
- A Projective-Geometry-Aware Network for 3D Vertebra Localization in Calibrated Biplanar X-Ray Images.Sensors (Basel, Switzerland) · 2025Article
- AutoScan3D: A low-cost, portable photogrammetry system for automated 3D digitization of anatomical specimens.PloS one · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid development of 3D reconstruction, especially the emergence of algorithms such as NeRF and 3DGS, 3D reconstruction has become a popular research topic in recent years. 3D reconstruction technology provides crucial support for training extensive computer vision models and advancing the development of general artificial intelligence. With the development of deep learning and GPU technology, the demand for high-precision and high-efficiency 3D reconstruction information is increasing, especially in the fields of unmanned systems, human-computer interaction, virtual reality, and medicine. The rapid development of 3D reconstruction is becoming inevitable. This survey categorizes the various methods and technologies used in 3D reconstruction. It explores and classifies them based on three aspects: traditional static, dynamic, and machine learning. Furthermore, it compares and discusses these methods. At the end of the survey, which includes a detailed analysis of the trends and challenges in 3D reconstruction development, we aim to provide a comprehensive introduction for individuals who are currently engaged in or planning to conduct research on 3D reconstruction. Our goal is to help them gain a comprehensive understanding of the relevant knowledge related to 3D reconstruction.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.