Computer Graphics
TU Braunschweig

A Convex Clustering-based Regularizer for Image Segmentation


We present a convex clustering-based regularizer, which can be incorporated in many optimization pipelines. For example Image segmentation processes based on gradient descent algorithms can make use of the presented regularizer and get clustering information without having to compromise on the convexity of the underlying problem.


Author(s):Benjamin Hell, Marcus Magnor
Published:October 2015
Type:Article in conference proceedings
Book:Proc. Vision, Modeling and Visualization (VMV) (Eurographics Association)
Presented at:Vision, Modeling and Visualization (VMV)
Project(s): Reality CG 

BibTex PDF 



@inproceedings{hell2015convexregularizer,
  title = {A Convex Clustering-based Regularizer for Image Segmentation},
  author = {Hell, Benjamin and Magnor, Marcus},
  booktitle = {Proc. Vision, Modeling and Visualization ({VMV})},
  organization = {Eurographics},
  pages = {87--94},
  month = {Oct},
  year = {2015}
}

Authors