Huicui Chen

Peking University

Papers

1

Total Citations

13

H-Index

1

About

Huicui Chen is a researcher whose work lies at the intersection of robotics, computer vision, and artistic rendering. Her key research areas include robotic art creation, face detection, and image processing, with a particular focus on enabling robots to generate human-like portrait sketches. Chen’s major contribution is the development of a novel robot portrait pencil sketching algorithm that integrates face component analysis with texture segmentation. Unlike traditional methods that rely solely on geometric and texture features, her approach incorporates semantic information to produce more expressive and artistically compelling portraits. This work, published in 2019, has garnered 13 citations, reflecting its growing influence in the field of human-robot interaction and creative robotics. By bridging the gap between machine perception and artistic expression, Chen has advanced the capability of robotic arms to perform nuanced tasks that require both technical precision and aesthetic judgment. Her research not only enriches the field of robotic art creation but also opens new possibilities for human-robot collaboration in creative domains.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A Robot Portraits Pencil Sketching Algorithm Based on Face Component and Texture Segmentation
13 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Peking University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago