Peifeng Zeng
Papers
2
Total Citations
14
H-Index
2
About
Peifeng Zeng’s research centers on image processing and computational geometry, with a particular focus on distance transforms and image enhancement. His most notable contribution is the development of a systolic algorithm for the Euclidean distance transform, a fundamental operation in computer vision, pattern recognition, morphological filtering, and robotics. This work, published in 2006, proposes an efficient method for computing the Euclidean distance map of an N x N binary image, achieving 11 citations and demonstrating a practical approach to accelerating a core image-processing task. Zeng also explored image interpolation enhancement through distance map-based techniques in his 2003 paper, which garnered 3 citations. While his citation counts reflect a focused but impactful body of work, his systolic algorithm stands out for its potential to improve real-time processing in applications ranging from automated navigation to medical imaging. Zeng’s contributions offer valuable insights for researchers seeking efficient, hardware-friendly solutions in distance transform computation.
Research Focus
Key Achievements
Top Papers
- 1A systolic algorithm for Euclidean distance transform11 citations · 2006
- 2Distance Map Based Enhancement for Interpolated Images3 citations · 2003