Federico Camposeco

Papers

Total Citations

112

H-Index

About

Federico Camposeco is a leading researcher in computer vision, with a focus on visual localization, 3D scene understanding, and efficient geometric computation. His work addresses the critical challenge of enabling robust, real-time localization for mobile devices, autonomous robots, and augmented reality applications. Camposeco’s most impactful contribution is the development of **Hybrid Scene Compression for Visual Localization**, which has garnered over 65 citations. This method intelligently combines dense and sparse 3D scene representations, drastically reducing memory and computational requirements while maintaining high localization accuracy—a key enabler for deployment on resource-constrained platforms like drones and smartphones. He is also known for his work on **minimal solvers**, particularly for generalized pose and scale estimation from two rays and one point (45 citations), which provides efficient, closed-form solutions to fundamental geometric problems. By advancing both the theoretical foundations and practical efficiency of visual localization, Camposeco’s research directly supports the next generation of autonomous systems and immersive experiences, making him a notable figure in the field.