D Building Façade Reconstruction Using Deep Learning
Bibliographic Data
| ID | 22031622 |
|---|---|
| Authors | Konstantinos Bacharidis (0000-0002-3867-7119, University of Crete), Froso Sarri (0009-0004-7341-739X, Technical University of Crete), Lemonia Ragia (0000-0002-3232-8671, Athena Research and Innovation Center In Information Communication & Knowledge Technologies, corresponding author) |
| Year | 2020 |
| Volume | 9 |
| Issue | 5 |
| Pages | 322 |
| Publication date | 2020-05-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi9050322 |
| OpenAlex | W3024713298 |
| Language | EN |
| Citations received | 4 |
| References cited | 30 |
In recent years, advances in computer hardware, graphics rendering algorithms and computer vision have enabled the utilization of 3D building reconstructions in the fields of archeological structure restoration and urban planning. This paper deals with the reconstruction of realistic 3D models of buildings façades, in the urban environment for cultural heritage. The proposed approach is an extension of our previous work in this research topic, which introduced a methodology for accurate 3D realistic façade reconstruction by defining and exploiting a relation between stereoscopic image and tacheometry data. In this work, we re-purpose well known deep neural network architectures in the fields of image segmentation and single image depth prediction, for the tasks of façade structural element detection, depth point-cloud generation and protrusion estimation, with the goal of alleviating drawbacks in our previous design, resulting in a more light-weight, robust, flexible and cost-effective design
3D reconstruction · Architectural plan · Artificial neural network · Computer graphics · Computer vision · Cultural heritage · Data mining · Deep learning · Geography · Graphics · Image segmentation · Point cloud · Segmentation · Stereoscopy · 3D Surveying and Cultural Heritage · Advanced Vision and Imaging · Computer Science · Remote Sensing and LiDAR Applications · Architecture · Artificial Intelligence
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Multidimensional Analysis of HBIM Segmentation
| Unique citing works | 4 |
|---|---|
| Citations per year | 1,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |