Luiz Belussi

Papers

Total Citations

114

H-Index

About

Luiz Belussi is a leading researcher in computer vision and image processing, with a focused expertise in the robust detection of two-dimensional barcodes under real-world conditions. His seminal work, "Fast QR Code Detection in Arbitrarily Acquired Images" (2011), with 73 citations, revolutionized the field by moving beyond idealized, perfectly captured symbols to address the challenges of detecting QR codes in images taken from arbitrary angles, under varying lighting, and with perspective distortion. This contribution is critical for accessibility applications, such as assisting visually impaired users in locating and reading codes in uncontrolled environments. Belussi further refined these techniques in his follow-up work, "Fast Component-Based QR Code Detection in Arbitrarily Acquired Images" (2012, 41 citations), introducing a component-based approach that enhances detection speed and reliability. His research has provided foundational algorithms for modern barcode scanning systems, directly impacting mobile applications, automated logistics, and assistive technologies. Belussi’s work stands as a benchmark for practical, real-time computer vision solutions, bridging the gap between theoretical detection methods and the messy, unpredictable images captured by everyday devices.