منابع مشابه
Towards Optimal 3D Point Clouds
Motivated by the increasing need of rapid characterisation of environments in 3D, the authors have designed a robot system that automates the work of an operator of terrestrial laser scanners. The built system makes it possible to work without markers or targets, saving surveyors more than 75% of the time spent in the field. Another impulse for developing the platform was the demand for a remot...
متن کامل3D Detection of Power-Transmission Lines in Point Clouds Using Random Forest Method
Inspection of power transmission lines using classic experts based methods suffers from disadvantages such as highel level of time and money consumption. Advent of UAVs and their application in aerial data gathering help to decrease the time and cost promenantly. The purpose of this research is to present an efficient automated method for inspection of power transmission lines based on point c...
متن کاملShape Recognition in 3D Point-Clouds
While the recent improvements in geometry acquisition techniques allow for the easy generation of large and detailed point cloud representations of real-world objects, tasks as basic as for example the selection of all windows in 3D laser range data of a house still require a disproportional amount of user interaction. In this paper we address this issue and present a flexible framework for the...
متن کاملSEGCloud: Semantic Segmentation of 3D Point Clouds
3D semantic scene labeling is fundamental to agents operating in the real world. In particular, labeling raw 3D point sets from sensors provides fine-grained semantics. Recent works leverage the capabilities of Neural Networks (NNs), but are limited to coarse voxel predictions and do not explicitly enforce global consistency. We present SEGCloud, an end-to-end framework to obtain 3D point-level...
متن کاملClassification of Aerial Photogrammetric 3D Point Clouds
We present a powerful method to extract per-point semantic class labels from aerial photogrammetry data. Labelling this kind of data is important for tasks such as environmental modelling, object classification and scene understanding. Unlike previous point cloud classification methods that rely exclusively on geometric features, we show that incorporating color information yields a significant...
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ژورنال
عنوان ژورنال: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2014
ISSN: 2194-9050
DOI: 10.5194/isprsannals-ii-5-347-2014