Cutting-Plane Training of Non-associative Markov Network for 3D Point Cloud Segmentation

@article{Shapovalov2011CuttingPlaneTO,
  title={Cutting-Plane Training of Non-associative Markov Network for 3D Point Cloud Segmentation},
  author={Roman Shapovalov and Alexander Velizhev},
  journal={2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission},
  year={2011},
  pages={1-8}
}
We address the problem of object class segmentation of 3D point clouds. Each point of a cloud should be assigned a class label determined by the category of the object it belongs to. Non-associative Markov networks have been applied to this task recently. Indeed, they impose more flexible constraints on segmentation results in contrast to the associative ones. We show how to train non-associative Markov networks in a principled manner using the structured Support Vector Machine (SVM) formalism… CONTINUE READING
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