Jinbo Liu

National University of Defense Technology

Papers

Total Citations

H-Index

About

Jinbo Liu is a computer vision researcher whose work centers on camera pose estimation and geometric computer vision, with a particular focus on line-based correspondence methods. His most cited paper, "New method for camera pose estimation based on line correspondence" (2013), introduces an innovative approach that leverages line features—rather than traditional point features—to determine the position and orientation of a camera in 3D space. This contribution is significant because line correspondences are often more robust in environments with low texture or repetitive patterns, where point-based methods fail. While his citation count of 12 for this work reflects a focused, specialized impact, the paper has been recognized for its practical utility in robotics, augmented reality, and autonomous navigation. Liu’s research addresses a fundamental challenge in computer vision: achieving accurate pose estimation under real-world constraints. His work is particularly valuable for students and researchers exploring alternative geometric primitives for camera calibration and localization, offering a clear methodological alternative to dominant point-based paradigms.