Luis Puig

Papers

Total Citations

118

H-Index

About

Luis Puig is a leading researcher in computer vision and robotics, with a primary focus on omnidirectional vision systems, autonomous navigation, and assistive technologies. His work has been instrumental in advancing how machines perceive and interpret their environments, particularly through the use of wide-angle, panoramic cameras. Puig’s most influential contribution is his comprehensive 2011 study, "Calibration of omnidirectional cameras in practice: A comparison of methods," which has garnered 84 citations and serves as a foundational reference for researchers and practitioners seeking reliable calibration techniques. He further pushed the boundaries of wearable technology with his 2012 paper on a "Wearable omnidirectional vision system for personal localization and guidance," cited 29 times, which explores how low-cost sensing can augment human navigation and environmental recognition—a critical step toward practical assistance systems for the visually impaired or those in unfamiliar settings. Additionally, his 2009 work on self-localization from monocular uncalibrated vision using reference omniviews demonstrates an innovative, efficient approach to indoor robot positioning. Through these contributions, Puig has established himself as a key figure in making omnidirectional vision more accessible and applicable to real-world navigation challenges.