activity
19962021
most citedNumerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces

53 citations · 81 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2021★ 1 cited

4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data

Hamid Laga, Marcel Padilla, Ian H. Jermyn +3

We propose a novel framework to learn the spatiotemporal variability in longitudinal 3D shape data sets, which contain observations of objects that evolve and deform over time. Thi…

stat.AP2020

A Bayesian approach to deconvolution in well test analysis

Themistoklis Botsas, Jonathan A. Cumming, Ian H. Jermyn

In petroleum well test analysis, deconvolution is used to obtain information about the reservoir system. This information is contained in the response function, which can be estima…

stat.ME2018

Shape-Constrained Univariate Density Estimation

Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn +1

While the problem of estimating a probability density function (pdf) from its observations is classical, the estimation under additional shape constraints is both important and cha…

stat.ME2018★ 1 cited

Bayesian shape modelling of cross-sectional geological data

Thomai Tsiftsi, Ian H. Jermyn, Jochen Einbeck

Shape information is of great importance in many applications. For example, the oil-bearing capacity of sand bodies, the subterranean remnants of ancient rivers, is related to thei…

cs.GR2016★ 53 cited

Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces

Hamid Laga, Qian Xie, Ian H. Jermyn +1

Recent developments in elastic shape analysis (ESA) are motivated by the fact that it provides comprehensive frameworks for simultaneous registration, deformation, and comparison o…

cs.CV2006★ 1 cited

A higher-order active contour model of a `gas of circles' and its application to tree crown extraction

Peter Horvath, Ian Jermyn, Zoltan Kato +1

Many image processing problems involve identifying the region in the image domain occupied by a given entity in the scene. Automatic solution of these problems requires models that…

math.ST2005★ 23 cited

Invariant Bayesian estimation on manifolds

Ian H. Jermyn

A frequent and well-founded criticism of the maximum a posteriori (MAP) and minimum mean squared error (MMSE) estimates of a continuous parameter γtaking values in a differentiable…

hep-th1996★ 2 cited

Solving Topological Field Theories on Mapping Tori

Matthias Blau, Ian Jermyn, George Thompson

Using gauge theory and functional integral methods, we derive concrete expressions for the partition functions of BF theory and the U(1|1) model of Rozansky and Saleur on $Σx S^{1}…