Stephan Huckemann
Stephan Huckemann
Professor for Non-Euclidean Statistics, University of Goettingen
Verified email at - Homepage
Cited by
Cited by
A Smeary Central Limit Theorem for Manifolds with Application to High Dimensional Spheres
B Eltzner, SF Huckemann, 2018
Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric Lie group actions
S Huckemann, T Hotz, A Munk
Statistica Sinica, 1-58, 2010
Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces
S Huckemann, H Ziezold
Advances in Applied Probability 38 (2), 299-319, 2006
Global models for the orientation field of fingerprints: an approach based on quadratic differentials
S Huckemann, T Hotz, A Munk
IEEE transactions on pattern analysis and machine intelligence 30 (9), 1507-1519, 2008
Sticky central limit theorems on open books
T Hotz, S Skwerer, S Huckemann, H Le, JS Marron, JC Mattingly, E Miller, ...
The filament sensor for near real-time detection of cytoskeletal fiber structures
B Eltzner, C Wollnik, C Gottschlich, S Huckemann, F Rehfeldt
PloS one 10 (5), e0126346, 2015
Nested sphere statistics of skeletal models
SM Pizer, S Jung, D Goswami, J Vicory, X Zhao, R Chaudhuri, JN Damon, ...
Innovations for Shape Analysis: Models and Algorithms, 93-115, 2013
Intrinsic means on the circle: uniqueness, locus and asymptotics
T Hotz, S Huckemann
Annals of the Institute of Statistical Mathematics 67, 177-193, 2015
Intrinsic inference on the mean geodesic of planar shapes and tree discrimination by leaf growth
SF Huckemann
Filter design and performance evaluation for fingerprint image segmentation
DH Thai, S Huckemann, C Gottschlich
PloS one 11 (5), e0154160, 2016
Intrinsic MANOVA for Riemannian manifolds with an application to Kendall's space of planar shapes
S Huckemann, T Hotz, A Munk
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (4), 593-603, 2009
Inference on 3d procrustes means: Tree bole growth, rank deficient diffusion tensors and perturbation models
S Huckemann
Scandinavian Journal of Statistics 38 (3), 424-446, 2011
Torus principal component analysis with applications to RNA structure
B Eltzner, S Huckemann, KV Mardia
On the meaning of mean shape: Manifold stability, locus and the two sample test
SF Huckemann
Annals of the Institute of Statistical Mathematics 64, 1227-1259, 2012
Separating the real from the synthetic: minutiae histograms as fingerprints of fingerprints
C Gottschlich, S Huckemann
IET Biometrics 3 (4), 291-301, 2014
Möbius deconvolution on the hyperbolic plane with application to impedance density estimation
SF Huckemann, PT Kim, JY Koo, A Munk
Information geometry for phylogenetic trees
MK Garba, TMW Nye, J Lueg, SF Huckemann
Journal of Mathematical Biology 82, 1-39, 2021
Tree-oriented analysis of brain artery structure
S Skwerer, E Bullitt, S Huckemann, E Miller, I Oguz, M Owen, ...
Journal of mathematical imaging and vision 50, 126-143, 2014
Sticky central limit theorems at isolated hyperbolic planar singularities
S Huckemann, J Mattingly, E Miller, J Nolen
Principal component geodesics for planar shape spaces
S Huckemann, T Hotz
Journal of Multivariate Analysis 100 (4), 699-714, 2009
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