H. Dahmen

Papers

Total Citations

H-Index

About

H. Dahmen’s research lies at the intersection of computer vision and robotics, with a focus on omnidirectional imaging and autonomous navigation. In his seminal 2004 work, "The Quality of Catadioptric Imaging – Application to Omnidirectional Stereo," Dahmen advanced the understanding of catadioptric systems—cameras combining mirrors and lenses—for panoramic scene capture, laying groundwork for stereo vision in robotics. This paper, with 14 citations, remains a reference point for imaging quality assessment. His 2007 paper, "Vision-based robot homing in dynamic environments," earned 13 citations and introduced a robust method for robots to return to a goal location despite environmental changes. By leveraging Scale Invariant Feature Transform (SIFT) landmarks and a voting-based matching scheme, Dahmen enabled reliable visual homing under varying lighting, occlusions, and moving objects. This work demonstrates his ability to bridge theoretical imaging with practical, real-world robotics challenges. Though his citation counts are modest, Dahmen’s contributions are notable for their technical rigor and applicability in dynamic settings, making him a respected figure in vision-based robotic navigation.