Myriam Hadjouni
Papers
1
Total Citations
2
H-Index
1
About
Myriam Hadjouni is a researcher specializing in 3D geospatial data acquisition, point cloud processing, and parametric object classification. Her work focuses on developing low-cost, accessible surveying systems for detailed environmental modeling. Her most notable contribution is a methodology for the parametric classification of furniture from point cloud data, achieved using a custom-built, low-cost trolley-based laser scanning system. This innovation, detailed in her 2023 paper, demonstrates a practical approach to identifying common indoor and outdoor objects—such as chairs, tables, and benches—within complex 3D Cartesian point clouds. By prioritizing affordability and mobility, Hadjouni’s research opens doors for broader applications in urban planning, heritage documentation, and facility management. Her work has garnered early citations, reflecting its relevance to the growing field of automated 3D scene understanding. Hadjouni’s contributions exemplify how accessible technology can advance spatial intelligence, making her a promising voice in geomatics and laser scanning research.
Research Focus
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Top Papers
- 1