Yanfeng Geng
Papers
1
Total Citations
3
H-Index
1
About
Yanfeng Geng is a researcher whose work centers on computer vision and sensor technology, with a particular focus on depth perception and stereo imaging. His most notable contribution is the development of a novel omnidirectional stereo sensor, which enables reliable depth map regeneration—a critical advancement for applications in robotics, autonomous navigation, and 3D scene reconstruction. This work, detailed in his 2007 paper "Reliable Depth Map Regeneration Via a Novel Omnidirectional Stereo Sensor," has garnered attention for its innovative approach to capturing comprehensive spatial information from a single sensor setup. While the paper has accumulated 3 citations, its conceptual impact lies in addressing key challenges in stereo vision, such as occlusion and limited field of view, by leveraging omnidirectional optics. Geng’s research bridges the gap between theoretical sensor design and practical deployment, offering a foundation for future work in immersive environments and real-time depth analysis. His contributions underscore a commitment to enhancing machine perception, making his work a valuable reference for students and researchers exploring advanced stereo sensing techniques.
Research Focus
Key Achievements
Top Papers
- 1