Bodo Rosenhahn applies the principles of Point (geometry) and Conformal map in his work under Geometry. Bodo Rosenhahn incorporates Point (geometry) and Geometry in his studies. Among his research on Inertial frame of reference, you can see a combination of other fields of science like Inertial measurement unit and Quantum mechanics. He integrates Quantum mechanics with Inertial frame of reference in his research. Artificial intelligence is closely attributed to Inertial measurement unit in his research. His Computer vision study typically links adjacent topics like Monocular. While working in this field, Bodo Rosenhahn studies both Algorithm and Mathematical optimization. Borrowing concepts from Algorithm, he weaves in ideas under Mathematical optimization. His Artificial intelligence research extends to Pattern recognition (psychology), which is thematically connected.
Bodo Rosenhahn performs multidisciplinary study on Artificial intelligence and Theoretical computer science in his works. Bodo Rosenhahn performs multidisciplinary study in Computer vision and Algorithm in his work. With his scientific publications, his incorporates both Algorithm and Computer vision. His research ties Tracking (education) and Pedagogy together. His Tracking (education) study often links to related topics such as Pedagogy. As part of his studies on Motion (physics), he often connects relevant areas like Motion capture. His Motion capture study often links to related topics such as Motion (physics). His Segmentation study frequently draws connections between adjacent fields such as Image segmentation. Image segmentation connects with themes related to Segmentation in his study.
Programming language is intertwined with Path (computing), Process (computing), Extension (predicate logic) and Set (abstract data type) in his research. The study of Process (computing) is intertwined with the study of Programming language in a number of ways. He links relevant research areas such as Orientation (vector space), Block (permutation group theory) and Reduction (mathematics) in the realm of Geometry. The study of Reduction (mathematics) is intertwined with the study of Geometry in a number of ways. His Image (mathematics) study falls within the topics of Closed captioning and Aerial image. His Image (mathematics) research extends to Aerial image, which is thematically connected. Microscopy, Contrast (vision) and Focus (optics) are all intertwined in Optics research. Bodo Rosenhahn integrates several fields in his works, including Focus (optics) and Optics. His Operating system study frequently draws connections to other fields, such as Encoder and Path (computing).
His work blends Artificial intelligence and Machine learning studies together. In his works, Bodo Rosenhahn performs multidisciplinary study on Machine learning and Generative model. His research on Trajectory frequently links to adjacent areas such as Astronomy. His Astronomy study frequently draws connections to adjacent fields such as Trajectory. His Encoder research extends to the thematically linked field of Operating system. As part of his studies on Encoder, Bodo Rosenhahn frequently links adjacent subjects like Operating system. His research combines Artificial intelligence and Motion (physics). His Generative grammar study frequently draws connections to adjacent fields such as Generative model. His research brings together the fields of Path (computing) and Programming language.
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Motion capture using joint skeleton tracking and surface estimation
Juergen Gall;Carsten Stoll;Edilson de Aguiar;Christian Theobalt.
computer vision and pattern recognition (2009)
A Statistical Model of Human Pose and Body Shape
Nils Hasler;Carsten Stoll;Martin Sunkel;Bodo Rosenhahn.
Computer Graphics Forum (2009)
Recovering Accurate {3D} Human Pose in the Wild Using {IMUs} and a Moving Camera
Timo von Marcard;Roberto Henschel;Michael J. Black;Bodo Rosenhahn.
european conference on computer vision (2018)
Automatic human model generation
Bodo Rosenhahn;Lei He;Reinhard Klette.
computer analysis of images and patterns (2005)
Optimization and Filtering for Human Motion Capture
Juergen Gall;Bodo Rosenhahn;Thomas Brox;Hans-Peter Seidel.
International Journal of Computer Vision (2010)
Learning an Image-Based Motion Context for Multiple People Tracking
Laura Leal-Taixé;Michele Fenzi;Alina Kuznetsova;Bodo Rosenhahn.
computer vision and pattern recognition (2014)
Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker
Laura Leal-Taixe;Gerard Pons-Moll;Bodo Rosenhahn.
international conference on computer vision (2011)
Complementary Optic Flow
Henning Zimmer;Andrés Bruhn;Joachim Weickert;Levi Valgaerts.
energy minimization methods in computer vision and pattern recognition (2009)
Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects
T. Brox;B. Rosenhahn;J. Gall;D. Cremers.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
T. von Marcard;B. Rosenhahn;M. J. Black;G. Pons-Moll.
Computer Graphics Forum (2017)
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