Manuel Amthor
Papers
2
Total Citations
6
H-Index
2
About
Manuel Amthor is a researcher whose work lies at the intersection of computer vision, biomechanics, and biological motion analysis. His primary contributions focus on developing robust algorithms for tracking anatomical landmarks in high-speed X-ray sequences, a critical tool for studying animal locomotion. Amthor’s research addresses the significant challenge of severe occlusions—where bones and joints become hidden during movement—by pioneering fast and resilient landmark tracking methods. His 2012 paper, "Fast and Robust Landmark Tracking in X-ray Locomotion Sequences Containing Severe Occlusions," and his 2014 work, "Robust Pictorial Structures for X-ray Animal Skeleton Tracking," have laid foundational techniques for non-invasive, in vivo analysis of avian and other animal gait. These methods enable biologists, biomechanists, and roboticists to extract precise skeletal data from complex X-ray footage, bridging the gap between raw imaging and meaningful biological insight. While his citation counts (4 and 2 respectively) reflect a specialized niche, the impact of his work is profound in advancing the automated analysis of locomotion, offering a surgical-free window into the mechanics of movement that informs both evolutionary biology and bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust Pictorial Structures for X-ray Animal Skeleton Tracking2 citations · 2014