Convexity Shape Constraints for Image Segmentation

@article{Royer2016ConvexitySC,
  title={Convexity Shape Constraints for Image Segmentation},
  author={Loic A. Royer and D. L. Richmond and C. Rother and Bj{\"o}rn Andres and Dagmar Kainm{\"u}ller},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={402-410}
}
Segmenting an image into multiple components is a central task in computer vision. In many practical scenarios, prior knowledge about plausible components is available. Incorporating such prior knowledge into models and algorithms for image segmentation is highly desirable, yet can be non-trivial. In this work, we introduce a new approach that allows, for the first time, to constrain some or all components of a segmentation to have convex shapes. Specifically, we extend the Minimum Cost… Expand
14 Citations
Multi-object Convexity Shape Prior for Segmentation
  • 4
Convexity Shape Prior for Level Set-Based Image Segmentation Method
  • 9
  • PDF
Convex Shape Priors for Level Set Representation
  • 5
  • PDF
Nonparametric Joint Shape and Feature Priors for Image Segmentation
  • 20
  • PDF
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms
  • 1
  • PDF
Double Expansion for Multilabel Segmentation with Shape Prior
  • PDF
Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function
  • 7
  • PDF
Convex constrained meshes for superpixel segmentations of images
  • 7
  • PDF
A level set representation method for N-dimensional convex shape and applications
  • PDF
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation
  • 1
  • PDF
...
1
2
...

References

SHOWING 1-10 OF 14 REFERENCES
Convexity Shape Prior for Segmentation
  • 40
  • Highly Influential
  • PDF
Probabilistic image segmentation with closedness constraints
  • 85
  • PDF
Geodesic star convexity for interactive image segmentation
  • 335
  • PDF
Star Shape Prior for Graph-Cut Image Segmentation
  • 305
  • PDF
Globally Optimal Closed-Surface Segmentation for Connectomics
  • 89
  • PDF
Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization
  • 28
  • PDF
Globally Optimal Image Partitioning by Multicuts
  • 61
  • PDF
Generalized ordering constraints for multilabel optimization
  • 60
  • PDF
Snakes With an Ellipse-Reproducing Property
  • 53
  • PDF
Correlation clustering in general weighted graphs
  • 249
  • PDF
...
1
2
...