JavaScript is disabled for your browser. Some features of this site may not work without it.

    Listar

    Todo RIUMAComunidades & ColeccionesPor fecha de publicaciónAutoresTítulosMateriasTipo de publicaciónCentrosEsta colecciónPor fecha de publicaciónAutoresTítulosMateriasTipo de publicaciónCentros

    Mi cuenta

    AccederRegistro

    Estadísticas

    Ver Estadísticas de uso

    DE INTERÉS

    Datos de investigaciónReglamento de ciencia abierta de la UMAPolítica de RIUMAPolitica de datos de investigación en RIUMASHERPA/RoMEODulcinea
    Preguntas frecuentesManual de usoDerechos de autorContacto/Sugerencias
    Ver ítem 
    •   RIUMA Principal
    • Investigación
    • Ingeniería de Sistemas y Automática - (ISA)
    • ISA - Contribuciones a congresos científicos
    • Ver ítem
    •   RIUMA Principal
    • Investigación
    • Ingeniería de Sistemas y Automática - (ISA)
    • ISA - Contribuciones a congresos científicos
    • Ver ítem

    3D Segmentation Method for Natural Environments based on a Geometric-Featured Voxel Map

    • Autor
      Plaza, Victoria; Ababsa, Fakhr-Eddine; García-Cerezo, Alfonso JoséAutoridad Universidad de Málaga; Gómez-Ruiz, José AntonioAutoridad Universidad de Málaga
    • Fecha
      2015-03-26
    • Palabras clave
      Ingeniería de sistemas
    • Resumen
      This work proposes a new segmentation algorithm for three-dimensional dense point clouds and has been specially designed for natural environments where the ground is unstructured and may include big slopes, non-flat areas and isolated areas. This technique is based on a Geometric-Featured Voxel map (GFV) where the scene is discretized in constant size cubes or voxels which are classified in flat surface, linear or tubular structures and scattered or undefined shapes, usually corresponding to vegetation. Since this is not a point-based technique the computational cost is significantly reduced, hence it may be compatible with Real-Time applications. The ground is extracted in order to obtain more accurate results in the posterior segmentation process. The scene is split into objects and a second segmentation in regions inside each object is performed based on the voxel’s geometric class. The work here evaluates the proposed algorithm in various versions and several voxel sizes and compares the results with other methods from the literature. For the segmentation evaluation the algorithms are tested on several differently challenging hand-labeled data sets using two metrics, one of which is novel.
    • URI
      http://hdl.handle.net/10630/9616
    • Compartir
      RefworksMendeley
    Mostrar el registro completo del ítem
    Ficheros
    icitParaRiumaConPortada.pdf (507.1Kb)
    Colecciones
    • ISA - Contribuciones a congresos científicos

    Estadísticas

    Ver Estadísticas de uso
    Buscar en Dimension
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
     

     

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA