Publications related to Landmark Active Contours for Bioimage Analysis

Cardinal Hermite Exponential Splines: Theoretical Insights and Applications to Active Contours

Cardinal Hermite exponential spline functions are a generalization of the classical cardinal Hermite polynomial splines. In this work we consider the 4-dimensional space

ε _{ 4 }

= {1, x,

e ^{ \alpha x }

,

e ^{ -\alpha x }

} with α ∈ $ ℝ ^{ + } ...

SMAI-SIGMA2014

Exponential Hermite Splines For The Analysis Of Biomedical Images

Michaël Unser, Ricard Delgado Gonzalo, Virginie Sophie Uhlmann

We present a new exponential B-spline basis that enables the construction of active contours for the analysis of biomedical images. Our functions generalize the well-known polynomial Hermite B-splines and provide us with a direct control over the tangents ...

Ieee2014

Exponential Hermite Splines for the Analysis of Biomedical Images

Michaël Unser, Ricard Delgado Gonzalo, Virginie Sophie Uhlmann

We present a new exponential B-spline basis that enables the construction of active contours for the analysis of biomedical images. Our functions generalize the well-known polynomial Hermite B-splines and provide us with a direct control over the tangents ...

IEEE2014

Mirror Match: Reliable Feature Point Matching Without Geometric Constraints

Sabine Süsstrunk, Stefan Winkler

Many algorithms have been proposed to solve the problem of matching feature points in two or more images using geometric assumptions to increase the robustness of the matching. However, these assumptions do not always hold; in particular, few methods addre ...

2013

A Stochastic Minimum-Norm Approach to Image and Texture Interpolation

Michaël Unser, Hagay Kirshner

We introduce an exponential-based consistent approach to image scaling. Our model stems from Sobolev reproducing kernels, motivated by their role in continuous-domain stochastic autoregressive processes. The proposed approach imposes consistency and applie ...

EURASIP2010

Variational methods for texture segmentation

Nawal Houhou

In the last decades, image production has grown significantly. From digital photographs to the medical scans, including satellite images and video films, more and more data need to be processed. Consequently the number of applications based on digital imag ...

EPFL2009

Geometry-aware analysis of high-dimensional visual information sets

Effrosyni Kokiopoulou

Over the past few decades we have been experiencing a data explosion; massive amounts of data are increasingly collected and multimedia databases, such as YouTube and Flickr, are rapidly expanding. At the same time rapid technological advancements in mobil ...

EPFL2009

Variational B-Spline Level-Set: A Linear Filtering Approach for Fast Deformable Model Evolution

Michaël Unser, Philippe Thévenaz, Olivier Bernard

In the field of image segmentation, most level-set-based active-contour approaches take advantage of a discrete representation of the associated implicit function. We present in this paper a different formulation where the implicit function is modeled as a ...

IEEE2009

A collaborative approach to image segmentation and behavior recognition from image sequences

Laura Ioana Gui

Visual behavior recognition is currently a highly active research area. This is due both to the scientific challenge posed by the complexity of the task, and to the growing interest in its applications, such as automated visual surveillance, human-computer ...

EPFL2008

Variational B-Spline Level-Set Method for Fast Image Segmentation

Michaël Unser, Philippe Thévenaz

In the field of image segmentation, most of level-set-based active contour approaches are based on a discrete representation of the associated implicit function. We present in this paper a different formulation where the level-set is modelled as a continuo ...

IEEE2008

Landmark Active Contours for Bioimage Analysis

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Cardinal Hermite Exponential Splines: Theoretical Insights and Applications to Active Contours

Exponential Hermite Splines For The Analysis Of Biomedical Images

Exponential Hermite Splines for the Analysis of Biomedical Images

Mirror Match: Reliable Feature Point Matching Without Geometric Constraints

A Stochastic Minimum-Norm Approach to Image and Texture Interpolation

Variational methods for texture segmentation

Geometry-aware analysis of high-dimensional visual information sets

Variational B-Spline Level-Set: A Linear Filtering Approach for Fast Deformable Model Evolution

A collaborative approach to image segmentation and behavior recognition from image sequences

Variational B-Spline Level-Set Method for Fast Image Segmentation

A collaborative approach to image segmentation and behavior recognition from image sequences

Mirror Match: Reliable Feature Point Matching Without Geometric Constraints

Cardinal Hermite Exponential Splines: Theoretical Insights and Applications to Active Contours

Geometry-aware analysis of high-dimensional visual information sets

Variational B-Spline Level-Set Method for Fast Image Segmentation

A Stochastic Minimum-Norm Approach to Image and Texture Interpolation

Exponential Hermite Splines for the Analysis of Biomedical Images

Exponential Hermite Splines For The Analysis Of Biomedical Images

Variational methods for texture segmentation

Variational B-Spline Level-Set: A Linear Filtering Approach for Fast Deformable Model Evolution