Cristina Bonfanti
Papers
1
Total Citations
4
H-Index
1
About
Cristina Bonfanti is a leading researcher in 3D digitization and geospatial data processing, with a focus on enhancing terrestrial point cloud quality through advanced sensor fusion and upsampling strategies. Her major contributions lie in developing hybrid reality capture systems that integrate diverse sensors—such as LiDAR and photogrammetry—to accelerate data acquisition and improve accuracy for applications in surveying, cultural heritage, and robotics. Notably, her 2024 paper on "ENHANCING TERRESTRIAL POINT CLOUDS USING UPSAMPLING STRATEGY: FIRST OBSERVATION AND TEST ON FARO FLASH TECHNOLOGY" (4 citations) demonstrates innovative methods to densify sparse point clouds, making data collection more efficient and user-friendly. This work underscores her impact on streamlining 3D digitization workflows, reducing operator burden while maintaining high fidelity. Bonfanti’s research has been instrumental in advancing hybrid sensor technologies, with her findings informing both academic studies and practical field applications. Her achievements highlight a commitment to bridging the gap between cutting-edge sensor design and real-world usability, positioning her as a key figure in the evolution of terrestrial scanning and automated data processing.
Research Focus
Key Achievements
Top Papers
- 1