TerraMobilita/iQmulus urban point cloud analysis benchmark

Bruno Vallet 1 Mathieu Brédif 1 Andrés Serna 2 Beatriz Marcotegui 2 Nicolas Paparoditis 1
1 MATIS - Méthodes d'Analyses pour le Traitement d'Images et la Stéréorestitution
2 CMM - Centre de Morphologie Mathématique
Abstract : The object of the TerraMobilita/iQmulus 3D urban analysis benchmark is to evaluate the current state of the art in urban scene analysis from mobile laser scanning (MLS) at large scale. A very detailed semantic tree for urban scenes is proposed. We call analysis the capacity of a method to separate the points of the scene into these categories (classification), and to separate the different objects of the same type for object classes (detection). A very large ground truth is produced manually in two steps using advanced editing tools developed especially for this benchmark. Based on this ground truth, the benchmark aims at evaluating both the classification, detection and segmentation quality of the submitted results.
Keywords : Benchmark urban scene laser scanning mobile mapping classification segmentation detection analysis
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Article dans une revue
Computers and Graphics, Elsevier, 2015, Computers and Graphics, 49, pp.126-133. <10.1016/j.cag.2015.03.004>
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Contributeur : Beatriz Marcotegui <>
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Dernière modification le : mardi 12 septembre 2017 - 11:40:39
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Bruno Vallet, Mathieu Brédif, Andrés Serna, Beatriz Marcotegui, Nicolas Paparoditis. TerraMobilita/iQmulus urban point cloud analysis benchmark. Computers and Graphics, Elsevier, 2015, Computers and Graphics, 49, pp.126-133. <10.1016/j.cag.2015.03.004>. <hal-01167995>

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