Phuong Ngoc Binh
Papers
1
Total Citations
44
H-Index
1
About
Phuong Ngoc Binh is a leading researcher in computer vision, with a primary focus on 3-D reconstruction and stereo-photogrammetry. Their most cited work, a comprehensive 2019 review of stereo-photogrammetry for 3-D reconstruction, has garnered 44 citations and traces the evolution of this foundational CV challenge from its earliest days. By systematically analyzing the trade-offs between system complexity, speed, and accuracy, Binh’s review has become a key reference for researchers seeking to understand and advance 3-D reconstruction methods. Beyond this review, Binh’s contributions lie in critically mapping the historical and practical impact of 3-D reconstruction on society, from autonomous navigation to cultural heritage preservation. Their work underscores the ongoing necessity of improving algorithmic efficiency without sacrificing precision—a balance that remains at the heart of modern computer vision. Binh’s research has helped guide subsequent developments in real-time 3-D mapping and depth estimation, making them a respected voice in the field. For students and researchers, Binh’s scholarship offers both a historical roadmap and a clear articulation of the challenges that continue to drive innovation in 3-D computer vision.
Research Focus
Key Achievements
Top Papers
- 1