Papers
1
Total Citations
19
H-Index
1
About
Pengcheng Li is a researcher specializing in precision measurement, computer vision, and automated scanning systems. His most notable work focuses on the development of innovative tracking and pose estimation methodologies for industrial metrology applications. In his highly regarded 2022 paper, "A Ball-Shaped Target Development and Pose Estimation Strategy for a Tracking-Based Scanning System," Li introduced a novel ball-shaped target structure combined with a coded marker and subpixel-accurate center extraction method to enable reliable pose determination in automatic tracking-based scanning environments. This contribution addresses a critical challenge in three-dimensional measurement systems — achieving accurate, real-time spatial orientation without sacrificing robustness under complex conditions. The work has garnered 19 citations since its publication, reflecting its immediate relevance and influence within the metrology and computer vision communities. Li's research bridges the gap between theoretical pose estimation algorithms and practical industrial scanning applications, making his contributions particularly valuable to engineers and scientists working on coordinate measurement, robotic guidance, and non-contact inspection systems. His work represents a meaningful advancement in the automation of high-precision spatial measurement workflows.
Research Focus
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Top Papers
- 1