Huiying Shen
Papers
1
Total Citations
10
H-Index
1
About
Dr. Huiying Shen is a researcher whose work lies at the intersection of computer vision and real-time graphics processing. Her key contributions center on developing novel algorithms for dense stereo reconstruction, with a particular focus on elevation-based mapping. In her most cited work, "Elevation-based MRF stereo implemented in real-time on a GPU" (2009, 10 citations), she introduced a groundbreaking framework that estimates the height of each point in a scene relative to the ground plane. This approach, which uses a Markov Random Field (MRF) formulation to directly represent elevation, enables the calculation of accurate, dense elevation maps from stereo imagery. By implementing this computationally intensive algorithm on a GPU, Dr. Shen achieved real-time performance, a significant advancement for applications in autonomous navigation, robotics, and 3D terrain modeling. Her work bridges the gap between theoretical MRF-based stereo methods and practical, deployable systems, demonstrating how careful algorithm design can leverage parallel hardware for dramatic speedups. This research remains a reference point for those working at the intersection of stereo vision and high-performance computing.
Research Focus
Key Achievements
Top Papers
- 1Elevation-based MRF stereo implemented in real-time on a GPU10 citations · 2009