ML Anthology

Multi-Layer Surface Segmentation Using Energy Minimization

Suthep Madarasmi, Daniel J. Kersten, Ting-Chuen Pong
CVPR 1993 pp. 774-775
doi:10.1109/CVPR.1993.341169 /cvpr/1993/madarasmi1993cvpr-multi/

Abstract

A multilayer, depth planes approach to image segmentation is proposed, where pixels may have arisen from a single smooth surface in the scene are represented in a common layer. Two types of output are produced at each pixel, i.e., a layer number and a vector of depth values, one value for each layer. The layer assignment performs image partitioning based on surface properties. The depth value assignment for each layer either represents the input data with the noise removed or interpolates between data values to fill-in nonvisible parts of the scene. The disjoint surfaces due to occlusion or transparency are also grouped together if they form a smooth surface.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Madarasmi et al. "Multi-Layer Surface Segmentation Using Energy Minimization." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341169

Markdown

[Madarasmi et al. "Multi-Layer Surface Segmentation Using Energy Minimization." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/madarasmi1993cvpr-multi/) doi:10.1109/CVPR.1993.341169

BibTeX

@inproceedings{madarasmi1993cvpr-multi,
  title     = {{Multi-Layer Surface Segmentation Using Energy Minimization}},
  author    = {Madarasmi, Suthep and Kersten, Daniel J. and Pong, Ting-Chuen},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {774-775},
  doi       = {10.1109/CVPR.1993.341169},
  url       = {https://mlanthology.org/cvpr/1993/madarasmi1993cvpr-multi/}
}