Outputs (59)

Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach (2020)
Conference Proceeding
Cumming, J., Botsas, T., Jermyn, I., & Gringarten, A. (2020). Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach. In SPE Virtual Europec 2020 ; proceedings (SPE-200617-MS). https://doi.org/10.2118/200617-ms

Objectives/Scope: A stable, single-well deconvolution algorithm has been introduced for well test analysis in the early 2000’s, that allows to obtain information about the reservoir system not always available from individual flow periods, for exampl... Read More about Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach.

Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models (2019)
Conference Proceeding
Franzel, M., Jones, S., Jermyn, I., Allen, M., & McCaffrey, K. (2019). Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models. . https://doi.org/10.3997/2214-4609.201902215

The three-dimensional geometry of fluvial channel sand bodies has received considerably less attention than their internal sedimentology, despite the importance of sandstone body geometry for subsurface reservoir modelling. The aspect ratio (width/th... Read More about Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models.

Shape-constrained and unconstrained density estimation using geometric exploration (2018)
Conference Proceeding
Dasgupta, S., Pati, D., Jermyn, I. H., & Srivastava, A. (2018). Shape-constrained and unconstrained density estimation using geometric exploration. In 2018 IEEE Statistical Signal Processing Workshop (SSP 2018) : 10-13 June 2018, Freiburg im Breisgau, Germany (358-362). https://doi.org/10.1109/ssp.2018.8450768

The problem of nonparametrically estimating probability density functions (pdfs) from observed data requires posing and solving optimization problems on the space of pdfs. We take a geometric approach and explore this space for optimization using act... Read More about Shape-constrained and unconstrained density estimation using geometric exploration.

Elastic 3D shape analysis using square-root normal field representation (2017)
Conference Proceeding
Laga, H., Jermyn, I. H., Kurtek, S., & Srivastava, A. (2017). Elastic 3D shape analysis using square-root normal field representation. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC) : Melbourne, Australia, 12-15 December 2017 ; proceedings (2711-2717). https://doi.org/10.1109/cdc.2017.8264053

Shape is an important physical property of natural and man-made 3D objects that characterizes their external appearances. Understanding differences between shapes, and modeling the variability within and across shape classes, hereinafter referred to... Read More about Elastic 3D shape analysis using square-root normal field representation.

Numerical inversion of SRNFs for efficient elastic shape analysis of star-shaped objects (2014)
Conference Proceeding
Xie, Q., Jermyn, I., Kurtek, S., & Srivastava, A. (2014). Numerical inversion of SRNFs for efficient elastic shape analysis of star-shaped objects. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer vision - ECCV 2014 : 13th European Conference Zurich, Switzerland, September 6-12, 2014 ; proceedings, part V (485-499). https://doi.org/10.1007/978-3-319-10602-1_32

The elastic shape analysis of surfaces has proven useful in several application areas, including medical image analysis, vision, and graphics. This approach is based on defining new mathematical representations of parameterized surfaces, including th... Read More about Numerical inversion of SRNFs for efficient elastic shape analysis of star-shaped objects.

A multi-layer phase field model for extracting multiple near-circular objects (2012)
Conference Proceeding
Molnar, C., Kato, Z., & Jermyn, I. (2012). A multi-layer phase field model for extracting multiple near-circular objects. In ICPR 2012 : the 21st International Conference on Pattern Recognition, November 11-15, 2012, Tsukuba International Congress Center, Tsukuba Science City, Japan (1427-1430)

This paper proposes a functional that assigns low `energy' to sets of subsets of the image domain consisting of a number of possibly overlapping near-circular regions of approximately a given radius: a `gas of circles'. The model can be used as a pri... Read More about A multi-layer phase field model for extracting multiple near-circular objects.

Elastic shape matching of parameterized surfaces using square root normal fields (2012)
Conference Proceeding
Jermyn, I. H., Kurtek, S., Klassen, E., & Srivastava, A. (2012). Elastic shape matching of parameterized surfaces using square root normal fields. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, & C. Schmid (Eds.), Computer vision - ECCV 2012 : 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings. Part V (804-817). https://doi.org/10.1007/978-3-642-33715-4_58

In this paper we define a new methodology for shape analysis of parameterized surfaces, where the main issues are: (1) choice of metric for shape comparisons and (2) invariance to reparameterization. We begin by defining a general elastic metric on t... Read More about Elastic shape matching of parameterized surfaces using square root normal fields.

A phase field method for tomographic reconstruction from limited data (2012)
Conference Proceeding
Hewett, R. J., Jermyn, I., Heath, M. T., & Kamalabadi, F. (2012). A phase field method for tomographic reconstruction from limited data. In R. Bowden, J. Collomosse, & K. Mikolajczyk (Eds.), Proceedings of the British Machine Vision Conference (1-11). https://doi.org/10.5244/c.26.120

Classical tomographic reconstruction methods fail for problems in which there is extreme temporal and spatial sparsity in the measured data. Reconstruction of coronal mass ejections (CMEs), a space weather phenomenon with potential negative effects o... Read More about A phase field method for tomographic reconstruction from limited data.

A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects (2011)
Conference Proceeding
Nemeth, J., Kato, Z., & Jermyn, I. (2011). A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects. In J. Blanc-Talon, R. Kleihorst, W. Philips, D. Popescu, & P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems: 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011, proceedings (171-182). https://doi.org/10.1007/978-3-642-23687-7_16

We propose a multi-layer binary Markov random field (MRF) model that assigns high probability to object configurations in the image domain consisting of an unknown number of possibly touching or overlapping near-circular objects of approximately a gi... Read More about A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects.

A theoretical and numerical study of a phase field higher-order active contour model of directed networks (2010)
Conference Proceeding
El Ghoul, A., Jermyn, I., & Zerubia, J. (2010). A theoretical and numerical study of a phase field higher-order active contour model of directed networks. In R. Kimmel, R. Klette, & A. Sugimoto (Eds.), Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010 ; revised selected papers, Part II (647-659). https://doi.org/10.1007/978-3-642-19309-5_50

We address the problem of quasi-automatic extraction of directed networks, which have characteristic geometric features, from images. To include the necessary prior knowledge about these geometric features, we use a phase field higher-order active co... Read More about A theoretical and numerical study of a phase field higher-order active contour model of directed networks.