Ji Lv

Papers

Total Citations

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About

Ji Lv is a researcher whose work lies at the intersection of computer vision and robotics, with a particular focus on robust object recognition and real-time visual identification. His most-cited paper, "Robot robust object recognition based on fast SURF feature matching" (2013, 13 citations), introduces a novel Speeded up SURF (SSURF) algorithm that adapts the local invariant features of SURF for robotic applications. This contribution directly addresses critical challenges in robot vision, including scale changes, rotation, perspective shifts, and varying illumination—problems that have long hindered reliable object recognition in dynamic environments. By accelerating the feature matching process, Lv’s work enables robots to perform more efficient and accurate visual identification, a key requirement for autonomous navigation and manipulation tasks. Though his citation count is modest, the practical significance of his algorithm in enhancing real-time robotic perception marks a notable achievement in applied computer vision. Lv’s research continues to inform developments in intelligent robotics, where robust, fast, and adaptable visual systems are essential for bridging the gap between laboratory prototypes and real-world deployment.