Thodoris Betsas
Biographic Data
| ID | 6942684 |
|---|---|
| NAME | Thodoris Betsas |
| GIVEN NAMES | Thodoris |
| FAMILY NAME | Betsas |
| SIGNATURE | BETSAS T |
| AFFILIATIONS | National Technical University of Athens |
| ORCID | 0000-0001-7354-5544 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Detecting Three-Dimensional Straight Edges in Point Clouds Based on Normal Vectors
Edge detection is essential for numerous applications in various engineering and scientific fields, including photogrammetry and computer vision. Edge detection can be applied to a variety of 2D and 3D data types, enabling tasks like feature extraction, object recognition and scene reconstruction. Currently, 2D edge detection in image data can achieve high accuracy through various automated methods. At the same time, edge detection in 3D space re…
Point-Cloud Segmentation for 3D Edge Detection and Vectorization
The creation of 2D–3D architectural vector drawings constitutes a manual, labor-intensive process. The scientific community has not provided an automated approach for the production of 2D–3D architectural drawings of cultural-heritage objects yet, regardless of the undoubtable need of many scientific fields. This paper presents an automated method which addresses the problem of detecting 3D edges in point clouds by leveraging a set of RGB images …
No prominent works on this page.
Point-Cloud Segmentation for 3D Edge Detection and Vectorization
The creation of 2D–3D architectural vector drawings constitutes a manual, labor-intensive process. The scientific community has not provided an automated approach for the production of 2D–3D architectural drawings of cultural-heritage objects yet, regardless of the undoubtable need of many scientific fields. This paper presents an automated method which addresses the problem of detecting 3D edges in point clouds by leveraging a set of RGB images …
Detecting Three-Dimensional Straight Edges in Point Clouds Based on Normal Vectors
Edge detection is essential for numerous applications in various engineering and scientific fields, including photogrammetry and computer vision. Edge detection can be applied to a variety of 2D and 3D data types, enabling tasks like feature extraction, object recognition and scene reconstruction. Currently, 2D edge detection in image data can achieve high accuracy through various automated methods. At the same time, edge detection in 3D space re…
3D Surveying and Cultural Heritage (2 works) · Computer Science (2 works) · Computer vision (2 works) · Geometry (2 works) · Mathematics (2 works) · Point (geometry (2 works) · Point cloud (2 works) · Remote Sensing and LiDAR Applications (2 works) · 3D modeling (1 work) · Archaeological Research and Protection (1 work)