TerraMobilita/iQmulus urban point cloud analysis benchmark

被引：121

作者：

Vallet, Bruno ^{[1
]}

Bredif, Mathieu ^{[1
]}

Serna, Andres ^{[2
]}

Marcotegui, Beatriz ^{[2
]}

Paparoditis, Nicolas ^{[1
]}

机构：

[1] Univ Paris Est, IGN Rech, SRIG, MATIS, F-94160 St Mande, France

[2] Ctr Morphol Math CMM, F-77305 Fontainebleau, France

来源：

COMPUTERS & GRAPHICS-UK | 2015年 / 49卷

关键词：

Benchmark; Urban scene; Laser scanning; Mobile mapping; Classification; Segmentation;

D O I：

10.1016/j.cag.2015.03.004

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The objective 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 the classification, detection and segmentation quality of the submitted results. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：126 / 133

页数：8

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