Mathematical Morphology on Irregularly Sampled Data Applied to Segmentation of 3D Point Clouds of Urban Scenes - Mines Paris Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Mathematical Morphology on Irregularly Sampled Data Applied to Segmentation of 3D Point Clouds of Urban Scenes

Teo Asplund
  • Fonction : Auteur
Andrés Serna

Résumé

This paper proposes an extension of mathematical morphology on irregularly sampled signals to 3D point clouds. The proposed method is applied to the segmentation of urban scenes to show its applicability to the analysis of point cloud data. Applying the proposed operators has the desirable side-effect of homogenizing signals that are sampled heterogeneously. In experiments we show that the proposed segmenta-tion algorithm yields good results on the Paris-rue-Madame database and is robust in terms of sampling density, i.e. yielding similar labelings for more sparse samplings of the same scene.
Fichier principal
Vignette du fichier
2019_ismm_PC_asplund.pdf (2.54 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02430538 , version 1 (07-01-2020)

Identifiants

Citer

Teo Asplund, Andrés Serna, Beatriz Marcotegui, Robin Strand, Cris Luengo Hendriks. Mathematical Morphology on Irregularly Sampled Data Applied to Segmentation of 3D Point Clouds of Urban Scenes. 14th International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, Jul 2019, Saarbrücken, Germany. ⟨10.1007/978-3-030-20867-7_29⟩. ⟨hal-02430538⟩
57 Consultations
135 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More