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Statistical shape models are a useful tool in image processing and computer vision.
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F. L. Bookstein, · 1997
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T. F. Cootes, · 2000
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“A minimum description length approach to statistical shape modeling,”
R. H. Davies, C. J. Twining, T. F. Cootes, J. C. Waterton, and C. J. Taylor, · 2002
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“A unified framework for alignment and correspondence,”
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“Automatic construction of 3-d statistical deformation models of the brain using nonrigid registration,”
D. Rueckert, A. F. Frangi, and J. A. Schnabel, · 2003
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“Statistical models of appearance for computer vision,” 2004
T. F. Cootes and C.J. Taylor, · 2004
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“Robust contour matching via the order-preserving assignment problem,”
C. Scott and R. Nowak, · 2006
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“Shape-based hand recognition,”
E. Yoruk, E. Konukoglu, B. Sankur, and J. Darbon, · 2006
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“Generalized overlap measures for evaluation and validation in medical image analysis,”
W. Crum, O. Camara, and D. Hill, · 2006
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Information Retrieval for Music and Motion
M. Müller, · 2007
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“Searching and mining trillions of time series subsequences under dynamic time warping,”
T. Rakthanmanon, B. Campana, A. Mueen, G. Batista, B. Westover, Q. Zhu, J. Zakaria, and E. Keogh, · 2012
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“A unified approach to shape model fitting and non-rigid registration,”
M. Lüthi, C. Jud, and T. Vetter, · 2013
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“Fully automatic segmentation of the proximal femur using random forest regression voting,”
C. Lindner, S. Thiagarajah, J. M. Wilkinson, The arcOGEN Consortium, G. A. Wallis, and T. F. Cootes, · 2013
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“Learning-based shape model matching: Training accurate models with minimal manual input,”
C. Lindner, J. Thomson, The arcOGEN Consortium, and T. F. Cootes, · 2015
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Statistical Shape Analysis, with Applications in R. Second Edition
I. L. Dryden and K. V. Mardia, · 2016
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“Generation of a statistical shape model with probabilistic point correspondences and the expectation maximization- iterative closest point algorithm,”
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Nicholas Ayache, and Heinz Handels, · 2008
Cited alongside, same era.
Statistical Models of Shape, Optimisation and Evaluation
R. Davies, C. Twining, and C. Taylor, · 2008
Cited alongside, same era.
“Probabilistic models of object geometry with application to grasping,”
J. Glover, D. Rus, and N. Roy, · 2009
Cited alongside, same era.
“Point set registration: Coherent point drift,”
A. Myronenko and X. Song, · 2010
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“Computing accurate correspondences across groups of images,”
T. F. Cootes, C. J. Twining, V. S. Petrovic, K. O. Babalola, and C. J. Taylor, · 2010
Cited alongside, same era.
“Alpha shapes – a survey,”
H. Edelsbrunner, · 2010
Cited alongside, same era.
“Robust registration of surfaces using a refined iterative closest point algorithm with a trust region approach,”
P. Bergström and O. Edlund, · 2017
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“A weighting strategy for Active Shape Models,”
A. Eguizabal and P. J. Schreier, · 2017
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“Model-order selection in statistical shape models,”
A. Eguizabal, P. J. Schreier, and D. Ramírez, · 2018
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“C-arm image-based surgical path planning method for distal locking of intramedullary nails,”
H. Wei-En, Y. Ching-Hsiao, C. Chih-Ju, W. Hung-Kang, Y. Tsong-Han, and T. Ching-Shiow, · 2018
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“Gaussian process morphable models,”
M. Lüthi, T. Gerig, C. Jud, and T. Vetter, · 2018
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“Convolutional experts constrained local model for facial landmark detection,”
A. Zadeh, T. Baltrusaitis, and L. Morency, · 2059
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