Publications associées à Landmark Active Contours for Bioimage Analysis

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

Michaël Unser, Virginie Sophie Uhlmann

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

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

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

Variational methods for texture segmentation

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

Geometry-aware analysis of high-dimensional visual information sets

Mirror Match: Reliable Feature Point Matching Without Geometric Constraints

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

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