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Communication Dans Un Congrès Année : 2015

Geometry-Based Superpixel Segmentation Introduction of Planar Hypothesis for Superpixel Construction

Résumé

Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced. The main contribution lies on the definition of a new distance for the construction of the superpixels. This distance takes into account both the surface normals and a similarity measure between pixels that are located on the same planar surface. We show that our approach improves over-segmentation, like SLIC, i.e. the proposed method is able to segment properly planar surfaces.
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Dates et versions

hal-03662772 , version 1 (09-05-2022)

Identifiants

  • HAL Id : hal-03662772 , version 1
  • OATAO : 15223

Citer

Marie-Anne Bauda, Sylvie Chambon, Pierre Gurdjos, Vincent Charvillat. Geometry-Based Superpixel Segmentation Introduction of Planar Hypothesis for Superpixel Construction. International Conference on Computer Vision Theory and Applications (VISAPP 2015) part of VISIGRAPP, the 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Mar 2015, Berlin, Germany. pp. 227-232. ⟨hal-03662772⟩
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