Marius Bulacu

Papers

Total Citations

206

H-Index

About

Marius Bulacu is a leading researcher in computer vision and assistive technology, with a primary focus on text detection and recognition in natural scenes. His most influential work centers on developing camera-based reading systems for visually impaired persons, a contribution that bridges artificial intelligence and accessibility. His seminal 2004 paper, "Text detection from natural scene images: towards a system for visually impaired persons," has garnered 147 citations, establishing foundational methods for character extraction from complex, real-world environments. Building on this, his 2005 work, "Improved text-detection methods for a camera-based text reading system for blind persons" (59 citations), advanced the robustness of these systems, addressing challenges like varying lighting, fonts, and perspectives. Bulacu’s research has been pivotal in enabling automatic text recognition from natural images, with applications extending beyond assistive technology to image retrieval, robotics, and intelligent transport systems. His work underscores a commitment to practical, human-centered AI, demonstrating how computer vision can empower individuals with disabilities. By pioneering text detection in unconstrained settings, Bulacu has left a lasting impact on both the academic community and real-world assistive technologies.