Xiangmin Chen
Papers
1
Total Citations
4
H-Index
1
About
Dr. Xiangmin Chen is a researcher whose work lies at the intersection of computer vision, robotics, and human-computer interaction, with a particular focus on advancing face recognition technologies. Her most cited paper, "The Research of Single-Sample Face Recognition Based on Wavelet Image Fusion" (2018, 4 citations), addresses a critical challenge in the field: achieving robust recognition when only a single image sample per person is available. By leveraging wavelet image fusion techniques, Dr. Chen’s work enhances the security and service capabilities of robotic systems, enabling more reliable human-robot interaction in real-world scenarios. This contribution is especially significant given the growing demand for efficient, low-data recognition systems in applications ranging from surveillance to personalized robotics. While her citation count reflects the niche and emerging nature of her research area, Dr. Chen’s focus on single-sample recognition—a notoriously difficult problem—demonstrates her commitment to solving practical, high-impact challenges. Her work continues to inform developments in multi-pose and multi-sample recognition, bridging the gap between theoretical advances and real-world deployment in intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1