Thach B. Nguyen
Papers
2
Total Citations
8
H-Index
2
About
Thach B. Nguyen is a researcher specializing in 3D geometric feature extraction, computer vision, and spatial modeling. His work focuses on developing algorithms to automatically detect and reconstruct fundamental 3D structures—such as planes, lines, and corners—from point clouds and stereo imagery. In his 2016 paper, Nguyen introduced a novel planar extraction algorithm based on fuzzy clustering, advancing the automatic extraction of geometric features critical for 3D modeling and robotic mapping. Earlier, in 2009, he presented an effective method for accurate 3D line detection using stereo cameras, combining 2D image data to enhance object recognition and navigation systems. Though his most-cited papers each hold 4 citations, their contributions are foundational to the fields of 3D reconstruction and autonomous perception. Nguyen’s work has practical implications for robotics, computer-aided design, and environmental mapping, providing essential tools for interpreting complex spatial data. His research continues to support the development of more intelligent and autonomous systems that rely on precise geometric understanding of the world.
Research Focus
Key Achievements
Top Papers
- 1A Novel algorithm for Planar Extracting of 3D Point Clouds4 citations · 2016
- 2Accurate 3D lines detection using stereo camera4 citations · 2009