Papers
5
Total Citations
141
H-Index
4
About
Filiberto Pla is a leading researcher in computer vision, image analysis, and multidimensional optical sensing. His pioneering work in the early 1990s on feature extraction and colour segmentation for robotic citrus harvesting—papers that have garnered 43 and 31 citations respectively—laid foundational techniques for agricultural robotics. These contributions demonstrated how light reflection models could enable machines to locate and harvest fruit autonomously. Pla also advanced motion estimation and active tracking using log-polar image projections (22 citations), enhancing efficiency in dynamic visual environments. More recently, he has focused on multidimensional imaging systems, co-authoring a highly cited 2017 paper on the MOSIS system (41 citations), which explores integral imaging for applications from manufacturing to defense. His ongoing work includes guided depth inpainting for Time-of-Flight sensors (2025), addressing critical challenges in robotics and autonomous driving. With a career spanning over three decades, Pla’s research has consistently bridged theoretical advances and practical applications, making him a key figure in the evolution of computer vision and optical sensing technologies.
Research Focus
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