Alamin Mansouri
Papers
1
Total Citations
13
H-Index
1
About
Alamin Mansouri is a leading researcher at the intersection of computer vision, cultural heritage digitization, and robotic imaging systems. His work focuses on developing adaptive acquisition technologies that capture the intricate surface geometry and reflectance properties of historical artifacts. Mansouri’s most notable contribution is the **LightBot** system, a multi-light position robotic acquisition platform designed for adaptive capturing of cultural heritage surfaces. This innovation addresses critical limitations of traditional free-form and dome-based systems by enabling reproducible, high-fidelity imaging of complex artifacts. With 13 citations since 2022, LightBot has already influenced the field of heritage documentation, offering a scalable solution for museums and conservation labs. Mansouri’s research bridges robotics and cultural preservation, advancing non-invasive techniques for analyzing material degradation and surface details. His work is pivotal for researchers seeking automated, precise methods to digitize and monitor cultural heritage, ensuring that fragile objects can be studied and preserved for future generations.
Research Focus
Key Achievements
Top Papers
- 1