3D Heritage Reconstruction Through HBIM and Multi-Source Data Fusion: Geometric Change Analysis Across Decades
Abstract
1. Introduction
1.1. Aim and Novelty of the Paper
1.2. Organization of the Article
2. Materials and Methods
2.1. Research Methodology
2.2. Case Study
Historical Background—State of Research on the Object and Description of Non-Geometric—Data Sources Across Different Periods of the Building’s History
2.3. Reverse Chronology—Object Reconstruction
2.3.1. Inventory of the Current State (2024/2025)
Geometric Data
Object Modeling—HBIM Generation
2.3.2. Reconstruction of the Building’s Condition in the 1990s
Collected Materials Documenting the State of the Object
2.3.3. Reconstruction of the Building’s Condition in the 1930s
Porch Reconstruction
2.3.4. Reconstruction of the Church’s Condition from the Late 19th Century
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References and Notes
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Type of Data | Data Source | Metric Accuracy | Geometric Reliability | Semantic Reliability | Justification |
---|---|---|---|---|---|
Geometric | Terrestrial Laser Scanning (TLS)—point cloud | 2–5 mm | Very High | High | Highest measurement precision available, objective and reliable method. |
Geometric and Semantic | Close-range photogrammetry | 2–3 cm | High | High | Georeferenced, highly accurate spatial data with detailed visual/semantic content. |
Geometric | Historical technical documentation | ~5 cm | High | Moderate | Traditional manual measurement accuracy, standard historic documentation. |
Geometric and Semantic | Archival photographs (stand-alone) | ~10–20 cm | Low | Moderate/Low | Visual data interpretation, significant geometric uncertainties due to distortions and unknown camera parameters. |
Geometric and Semantic | Archival photographs (combined with TLS or documentation) | ~5–15 cm | Moderate/High | Moderate | Enhanced accuracy due to referencing to precise TLS or historical documentation data. |
Geometric and Semantic | Historical descriptions and archival records | ~10 cm (based on geometric references) | Moderate | Moderate/High | Approximation based on textual records validated by geometric references. |
Semantic and Approx. Geometric | Historical notes, literature, and stylistic comparisons | Difficult to quantify precisely (approx. tens of centimeters) | Low/Moderate | Moderate | Indirect, comparative and descriptive estimations, limited geometric precision. |
Semantic only | Expert literature and conservation records | Not applicable | Low | High | Purely semantic sources providing historical and contextual insights without direct geometric data. |
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Klapa, P.; Żygadło, A.; Pepe, M. 3D Heritage Reconstruction Through HBIM and Multi-Source Data Fusion: Geometric Change Analysis Across Decades. Appl. Sci. 2025, 15, 8929. https://doi.org/10.3390/app15168929
Klapa P, Żygadło A, Pepe M. 3D Heritage Reconstruction Through HBIM and Multi-Source Data Fusion: Geometric Change Analysis Across Decades. Applied Sciences. 2025; 15(16):8929. https://doi.org/10.3390/app15168929
Chicago/Turabian StyleKlapa, Przemysław, Andrzej Żygadło, and Massimiliano Pepe. 2025. "3D Heritage Reconstruction Through HBIM and Multi-Source Data Fusion: Geometric Change Analysis Across Decades" Applied Sciences 15, no. 16: 8929. https://doi.org/10.3390/app15168929
APA StyleKlapa, P., Żygadło, A., & Pepe, M. (2025). 3D Heritage Reconstruction Through HBIM and Multi-Source Data Fusion: Geometric Change Analysis Across Decades. Applied Sciences, 15(16), 8929. https://doi.org/10.3390/app15168929