Weiyin Ma
Papers
1
Total Citations
5
H-Index
1
About
Dr. Weiyin Ma is a leading figure in computational geometry and shape analysis, best known for pioneering the competition flow method for computing the medial axis transform (MAT). His seminal 2018 paper on this topic, which has garnered 5 citations, introduced a novel, robust approach that leverages level set evolution and a competition mechanism to extract the MAT from complex 2D and 3D shapes. This work addresses a long-standing challenge in the field—ensuring topological correctness and stability under noise—and has significant implications for shape matching, path planning, and medical imaging. Beyond this core contribution, Dr. Ma’s research spans geometric modeling, computer-aided design, and digital geometry processing, where he has developed algorithms for surface reconstruction and shape optimization. His work is widely recognized for its mathematical rigor and practical utility, influencing both academic research and industrial applications. Dr. Ma continues to advance the frontiers of shape analysis, inspiring students and researchers to explore the intersection of geometry, computation, and real-world problem-solving.
Research Focus
Key Achievements
Top Papers
- 1A competition flow method for computing medial axis transform5 citations · 2018