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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...
CONDITIONAL RANDOM FIELDS FOR THE CLASSIFICATION OF LIDAR POINT CLOUDS
Conditional Random Fields 3D Point Cloud LiDAR Classification
2014/6/5
In this paper we propose a probabilistic supervised classification algorithm for LiDAR (Light Detection And Ranging) point clouds.
Several object classes (i.e. ground, building and vegetation) ca...