# 3D Surveying and Cultural Heritage

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/3d-surveying-and-cultural-heritage/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers explores the advancements in 3D geospatial modelling techniques, including photogrammetry, UAV and terrestrial laser scanning, structure from motion, and their applications in geoscience, cultural heritage, and remote sensing. The focus is on accurate 3D reconstruction, point cloud generation, and digital preservation of natural and cultural heritage sites. |
| Domain | Physical Sciences |
| Field | Earth and Planetary Sciences |
| OpenAlex ID | t11211 |
| Works | 86 |

## Topic papers all

Showing 15 of 86.

- [An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation](https://scholariq.org/papers/an-easy-to-use-airborne-lidar-data-filtering-method-based-on-cloth-simulation/)
- [A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage](https://scholariq.org/papers/a-survey-of-augmented-virtual-and-mixed-reality-for-cultural-heritage/)
- [A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training](https://scholariq.org/papers/a-critical-review-of-the-use-of-virtual-reality-in-construction-engineering/)
- [Building Information Modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges](https://scholariq.org/papers/building-information-modelling-bim-uptake-clear-benefits-understanding-its/)
- [Large-Scale Data for Multiple-View Stereopsis](https://scholariq.org/papers/large-scale-data-for-multiple-view-stereopsis/)
- [3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey](https://scholariq.org/papers/3d-object-recognition-in-cluttered-scenes-with-local-surface-features-a-survey/)
- [Adaptive reuse of heritage buildings](https://scholariq.org/papers/adaptive-reuse-of-heritage-buildings/)
- [Computer Vision Techniques in Construction: A Critical Review](https://scholariq.org/papers/computer-vision-techniques-in-construction-a-critical-review/)
- [Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach](https://scholariq.org/papers/automated-detection-of-workers-and-heavy-equipment-on-construction-sites-a/)
- [Integrating structure-from-motion photogrammetry with geospatial software as a novel technique for quantifying 3D ecological characteristics of coral reefs](https://scholariq.org/papers/integrating-structure-from-motion-photogrammetry-with-geospatial-software-as-a/)
- [Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage](https://scholariq.org/papers/point-cloud-semantic-segmentation-using-a-deep-learning-framework-for-cultural/)
- [The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics](https://scholariq.org/papers/the-kit-object-models-database-an-object-model-database-for-object-recognition/)
- [Integrating mobile Building Information Modelling and Augmented Reality systems: An experimental study](https://scholariq.org/papers/integrating-mobile-building-information-modelling-and-augmented-reality-systems/)
- [HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation](https://scholariq.org/papers/horizonnet-learning-room-layout-with-1d-representation-and-pano-stretch-data/)
- [Automatic Extraction of Power Lines From Aerial Images](https://scholariq.org/papers/automatic-extraction-of-power-lines-from-aerial-images/)

## Topic primary papers

Showing 15 of 35.

- [Computer Vision Techniques in Construction: A Critical Review](https://scholariq.org/papers/computer-vision-techniques-in-construction-a-critical-review/)
- [Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage](https://scholariq.org/papers/point-cloud-semantic-segmentation-using-a-deep-learning-framework-for-cultural/)
- [Mobile 3D scan LiDAR: a literature review](https://scholariq.org/papers/mobile-3d-scan-lidar-a-literature-review/)
- [Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation](https://scholariq.org/papers/comparing-machine-and-deep-learning-methods-for-large-3d-heritage-semantic/)
- [Knowledge-based data enrichment for HBIM: Exploring high-quality models using the semantic-web](https://scholariq.org/papers/knowledge-based-data-enrichment-for-hbim-exploring-high-quality-models-using-the/)
- [Intuitive robot teleoperation for civil engineering operations with virtual reality and deep learning scene reconstruction](https://scholariq.org/papers/intuitive-robot-teleoperation-for-civil-engineering-operations-with-virtual/)
- [Rescue robots at earthquake-hit Mirandola, Italy: A field report](https://scholariq.org/papers/rescue-robots-at-earthquake-hit-mirandola-italy-a-field-report/)
- [A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION](https://scholariq.org/papers/a-benchmark-for-large-scale-heritage-point-cloud-semantic-segmentation/)
- [Point Cloud Registration Based on One-Point RANSAC and Scale-Annealing Biweight Estimation](https://scholariq.org/papers/point-cloud-registration-based-on-one-point-ransac-and-scale-annealing-biweight/)
- [The Great Buddha Project: Digitally Archiving, Restoring, and Analyzing Cultural Heritage Objects](https://scholariq.org/papers/the-great-buddha-project-digitally-archiving-restoring-and-analyzing-cultural/)
- [Active optical 3D imaging for heritage applications](https://scholariq.org/papers/active-optical-3d-imaging-for-heritage-applications/)
- [Image-Based Empirical Information Acquisition, Scientific Reliability, and Long-Term Digital Preservation for the Natural Sciences and Cultural Heritage](https://scholariq.org/papers/image-based-empirical-information-acquisition-scientific-reliability-and-long/)
- [Accurate integration of multi-view range images using k-means clustering](https://scholariq.org/papers/accurate-integration-of-multi-view-range-images-using-k-means-clustering/)
- [Real world modelling through high resolution digital 3D imaging of objects and structures](https://scholariq.org/papers/real-world-modelling-through-high-resolution-digital-3d-imaging-of-objects-and/)
- [Review: Research on product surface quality inspection technology based on 3D point cloud](https://scholariq.org/papers/review-research-on-product-surface-quality-inspection-technology-based-on-3d/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.