Geodesic models are known as an efficient tool for solving various image...
In this paper, we introduce an efficient method for computing curves
min...
Leveraging geodesic distances and the geometrical information they conve...
When studying the results of a segmentation algorithm using convolutiona...
Traditional signal processing methods relying on mathematical data gener...
We present Deformable Voxel Grids (DVGs) for 3D shapes comparison and
pr...
The minimal geodesic models based on the Eikonal equations are capable o...
Minimal paths are considered as a powerful and efficient tool for bounda...
The geodesic distance-based dual-front curve evolution model is a powerf...
Tubular structure tracking is an important and difficult problem in the
...
The minimal path model based on the Eikonal partial differential equatio...
In this chapter, we give an overview of part of our previous work based ...
The minimal path method has proven to be particularly useful and efficie...
In this paper, we propose a new minimal path model for minimally interac...
In this paper, we introduce a generalized asymmetric fronts propagation ...
In this paper, we propose a novel curvature-penalized minimal path model...