Daniel Haase
Papers
7
Total Citations
43
H-Index
4
About
Daniel Haase’s research sits at the intersection of biomechanics, computer vision, and robotics, with a primary focus on the automated analysis of animal locomotion from high-speed X-ray videos. His major contribution is the development and refinement of active appearance models (AAMs) and robust pictorial structures for tracking anatomical landmarks in biplanar X-ray sequences, even under severe occlusions. This work enables non-invasive, in vivo analysis of avian bipedal locomotion, providing critical data for biology, motion science, and robotics. His most cited paper, “Roboterassistierte Chirurgie – Fortschritt oder teures Spielzeug?” (2017, 18 citations), broadens his impact into the debate on robotic surgery’s value. Across his publications, Haase has advanced the state of the art in landmark tracking, with his methods achieving human-comparable performance in large-scale evaluations. His research has been cited over 40 times, reflecting its relevance to fundamental problems in understanding how animals move—insights that directly inform the design of legged robots and biomechanical models. Haase’s work exemplifies how computer vision techniques can unlock the secrets of nature’s locomotion.
Research Focus
Key Achievements
Top Papers
- 1Roboterassistierte Chirurgie – Fortschritt oder teures Spielzeug?18 citations · 2017
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- 6Robust Pictorial Structures for X-ray Animal Skeleton Tracking2 citations · 2014
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