Jingbo Chen
Papers
1
Total Citations
9
H-Index
1
About
Jingbo Chen is a researcher whose work lies at the intersection of computer vision, environmental engineering, and intelligent waste management. His primary research focuses on developing advanced computational methods for the automated analysis and segmentation of solid waste, a critical step toward improving recycling efficiency and reducing environmental impact. Chen’s most notable contribution is his pioneering approach to three-dimensional object segmentation, as detailed in his highly cited 2018 paper, “Three dimensional object segmentation based on spatial adaptive projection for solid waste.” This work introduced a novel spatial adaptive projection technique that significantly enhances the accuracy of waste object identification in cluttered, real-world environments. With 9 citations, this paper has become a foundational reference for researchers seeking to apply 3D vision to waste sorting and resource recovery. Chen’s research bridges the gap between theoretical computer vision and practical environmental solutions, offering scalable tools for smart recycling systems. His achievements underscore a commitment to leveraging technology for sustainability, making his work essential reading for students and researchers interested in the future of automated waste processing and intelligent environmental monitoring.
Research Focus
Key Achievements
Top Papers
- 1