Detailed three-dimensional building façade reconstruction: a review on applications, data and technologies
Urban environments are regions of complex and diverse architecture. Their reconstruction
and representation as three-dimensional city models have attracted the attention of many …
and representation as three-dimensional city models have attracted the attention of many …
An artificial neural network framework for classifying the style of cypriot hybrid examples of built heritage in 3D
G Artopoulos, MI Maslioukova, C Zavou… - Journal of Cultural …, 2023 - Elsevier
The article presents a workflow based on Deep Neural Networks (DNNs) and Support
Vector Machine (SVM) for identifying architectural stylistic influences of segmented building …
Vector Machine (SVM) for identifying architectural stylistic influences of segmented building …
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
Reconstructing semantic 3D building models at the level of detail (LoD) 3 is a long-standing
challenge. Unlike mesh-based models, they require watertight geometry and object-wise …
challenge. Unlike mesh-based models, they require watertight geometry and object-wise …
SVD-based point cloud 3D stone by stone segmentation for cultural heritage structural analysis–The case of the Apollo Temple at Delphi
Unprecedented growth in 3D reality-based capturing devices-such as Terrestrial Laser
Scanners (TLS) or Unnamed Aerial Vehicles (UAVs) equipped with high-resolution …
Scanners (TLS) or Unnamed Aerial Vehicles (UAVs) equipped with high-resolution …
[HTML][HTML] Refinement of semantic 3D building models by reconstructing underpasses from MLS point clouds
Semantic 3D building models are provided by public authorities and can be used in
applications, such as urban planning, simulations, navigation, and many others. Since large …
applications, such as urban planning, simulations, navigation, and many others. Since large …
Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification
Semantic 3D building models are widely available and used in numerous applications. Such
3D building models display rich semantics but no fa\c {c} ade openings, chiefly owing to their …
3D building models display rich semantics but no fa\c {c} ade openings, chiefly owing to their …
Reconstructing facade details using MLS point clouds and Bag-of-Words approach
In the reconstruction of façade elements, the identification of specific object types remains
challenging and is often circumvented by rectangularity assumptions or the use of bounding …
challenging and is often circumvented by rectangularity assumptions or the use of bounding …
MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building models
Although highly-detailed LoD3 building models reveal great potential in various
applications, they have yet to be available. The primary challenges in creating such models …
applications, they have yet to be available. The primary challenges in creating such models …
Classifying point clouds at the facade-level using geometric features and deep learning networks
Abstract 3D building models with facade details are playing an important role in many
applications now. Classifying point clouds at facade-level is key to create such digital …
applications now. Classifying point clouds at facade-level is key to create such digital …
Transferring facade labels between point clouds with semantic octrees while considering change detection
Point clouds and high-resolution 3D data have become increasingly important in various
fields, including surveying, construction, and virtual reality. However, simply having this data …
fields, including surveying, construction, and virtual reality. However, simply having this data …