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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...
3D OCTREE BASED WATERTIGHT MESH GENERATION FROM UBIQUITOUS DATA
Surface reconstruction Octree Graph-cut Lidar
2015/9/21
Despite of the popularity of Delauney structure for mesh generation, octree based approaches remain an interesting solution for a first step surface reconstruction. In this paper, we propose a generic...
Electromagnetic Modeling of Photolithography Aerial Image Formation Using the Octree Finite Element Method
aerial image finite element method photolithography electromagnetics octree simulation
2014/12/8
Modern semiconductor manufacturing requires photolithographic printing of subillumination wavelength features in photoresist via electromagnetic energy scattered by complicated photomask designs. This...
Stereo Model Selection and Point Cloud Filtering using an Out-of-Core Octree
Matching Point Cloud Photogrammetry Processing Integration Fusion Sampling
2014/9/9
Dense image matching methods enable the retrieval of dense surface information using any kind of imagery. The best quality can be achieved for highly overlapping datasets, which avoids occlusions and ...
LIDAR DATA SEGMENTATION AND CLASSIFICATION BASED ON OCTREE STRUCTURE
Lidar Laser Scanning Feature Extraction
2015/6/1
Lidar (or laser scanning) has become a viable technique for the collection of a large amount of accurate 3D point data densely
distributed on the scanned object surface. The inherent 3D nature of th...