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SEGMENTATION OF LARGE UNSTRUCTURED POINT CLOUDS USING OCTREE-BASED REGION GROWING AND CONDITIONAL RANDOM FIELDS
Segmentation Region Growing Conditional Random Fields Point Clouds
2018/3/5
Point cloud segmentation is a crucial step in scene understanding and interpretation. The goal is to decompose the initial data into sets of workable clusters with similar properties. Additionally, it...
FACETS : A CLOUDCOMPARE PLUGIN TO EXTRACT GEOLOGICAL PLANES FROM UNSTRUCTURED 3D POINT CLOUDS
geological plane dip and strike dip direction virtual outcrop unstructured 3D point clouds CloudCompare
2016/11/11
Geological planar facets (stratification, fault, joint…) are key features to unravel the tectonic history of rock outcrop or appreciate the stability of a hazardous rock cliff. Measuring their spatial...
AUTOMATICALLY DETERMINING SCALE WITHIN UNSTRUCTURED POINT CLOUDS
Unstructured Point Cloud Monocular Camera Real-world Scale Smart-phones Simplified Object-Recognition
2016/7/27
Three dimensional models obtained from imagery have an arbitrary scale and therefore have to be scaled. Automatically scaling these models requires the detection of objects in these models which can b...
3-D BUILDING RECONSTRUCTION FROM UNSTRUCTURED DISTINCT POINTS
hree-dimensional point cloud, reconstruction
2015/6/1
This paper presents a model-based approach for 3-D building reconstruction unstructured distinct points. The data structure of a
building is an unstructured roof point cloud digitized by operators. ...
RULE BASED INTERPRETATION OF UNSTRUCTURED VECTOR DATA
GIS rule based interpretation unstructured vector data
2015/3/6
The basic motivation for this work is the fact that interoperability of GIS in general and data exchange in particular is still a challenging task in industry and research. Nowadays data exchange is s...