Wentai Lei

Papers

Total Citations

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About

Wentai Lei is a researcher whose work centers on computer vision and camera calibration, with a particular focus on developing practical, user-friendly methods for real-world applications like robot positioning and autonomous driving. His most notable contribution, the paper "Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition" (2020), introduces an innovative approach that enhances the stability and ease of plane-board-based calibration—a critical task for accurate 3D scene reconstruction. By combining search algorithms with pose decomposition, Lei’s method addresses common challenges in calibration, offering an interactive solution that balances precision with handleability. While his citation count (5) reflects the early stage of this work’s dissemination, the paper’s relevance to the rapidly growing fields of robotics and autonomous systems positions it as a foundational piece for future advancements. Lei’s research underscores a commitment to bridging theoretical algorithms with practical tools, making camera calibration more accessible for engineers and researchers alike. His work contributes to the broader goal of enabling machines to perceive and navigate the world with greater accuracy, a cornerstone of modern AI-driven technologies.