2026-05-30T07:34:37Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/96162026-02-03T12:19:55Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Plaza, Victoria author Ababsa, Fakhr-Eddine author García-Cerezo, Alfonso José author Gómez-Ruiz, José Antonio author 2015-03-26 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. http://hdl.handle.net/10630/9616 Ingeniería de sistemas 3D Segmentation Method for Natural Environments based on a Geometric-Featured Voxel Map