Point cloud
Point Cloud Library: A study of different features part of the Point Cloud Library
... Figure 20: Test case 3 IX. CONCLUSION AND FUTURE WORK As we can see, the results of the algorithm are remarkable and it successfully identified the object itself and other object clusters similar to it. In fact, the ...
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SELF-LEARNING ONTOLOGY FOR INSTANCE SEGMENTATION OF 3D INDOOR POINT CLOUD
... the point-based flexibility (Weber et ...of point cloud data in ...indoor point cloud data ...clustering point cloud, followed by fitting point segments); (2) ...
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Improving thin structures in surface reconstruction from sparse point cloud
... a point cloud reconstructed from images of a scene with planar structures, [5] segments into inside and outside a tetrahedralization of the points by using graph-cut and two regularizations: horizontal ...
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A Built Heritage Information System Based on Point Cloud Data: HIS-PC
... on point cloud data as they now represent the mainstream of captured information on the heritage site, whatever information is collected via TLS or photogrammetric ...a point cloud ...
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Automatic Clustering Of Celtic Coins Based On 3d Point Cloud Pattern Analysis
... of point to point distance maps, we can tell whether two coins are struck by the same dies or ...3D point cloud and are usually used for reconstruction, SLAM (Simultaneous Odometry And Map- ...
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3D Point Cloud Analysis for Automatic Inspection of Aeronautical Mechanical Assemblies
... (a) (b) (c) (d) Figure 3: Example of our dataset. (a) CAD model, (b) 2D image, (c) 3D point cloud and (d) 3D point cloud with texture 3. OFFLINE PROCESS: VIEWPOINT SELECTION The initial setup ...
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Automatic extraction and management of semantics within point cloud data
... 3D Point Clouds in Archaeology: Advances in Acquisition, Processing and Knowledge Integration Applied to Quasi-Planar ...Smart point cloud: Toward an intelligent documentation of our ...R. ...
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Summarizing Large Scale 3D Point Cloud for Navigation Tasks
... I. I NTRODUCTION Last years, the introduction of High-Definition (HD) and semantic maps has made a great participation in the large commercial success of navigation and mapping products and also in the enhancement of ...
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Navigability Graph Extraction From Large-Scale 3D Point Cloud
... mapping using Octrees to eliminate redundant information. Another compression algorithms have been proposed in [9], [10]. They aim to select 3D points from the initial map based on hundreds of descriptors requiring ...
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Improving LiDAR Point Cloud Classification using Intensities and Multiple Echoes
... LiDAR Point Cloud Classification using Intensities and Multiple Echoes Christophe Reymann 1,2 and Simon Lacroix 1,3 Abstract— Besides precise and dense geometric information, some LiDARs also provide ...
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From point cloud to BIM: a survey of existing approaches
... a point cloud and leading to the well-structured final BIM; and proposes an analysis and a survey of existing approaches on the topics of: acquisition, segmentation and BIM ...
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Lexicographic optimal homologous chains and applications to point cloud triangulations
... to point cloud triangulation In all that precedes, the order on simplices was not specified and one can wonder if choosing such an ordering makes the specialization of OCHP too restrictive for it to be ...
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Point Cloud vs. Mesh Features for Building Interior Classification
... the point clouds are significantly higher than those of the ...initial point cloud. Second, the number of segments created from the point clouds are significantly higher than with the meshes ...
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Point-cloud avatars to improve spatial communication in immersive collaborative virtual environments
... the point-cloud avatar condition encouraged the participants (90% of them) to use the whole avatar body as a frame of reference with a higher success rate in this ...
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Unsupervised segmentation of indoor 3D point cloud: application to object-based classification
... indoor point cloud captured by a hand-held laser scanner Zeb-Revo In particular, we found that we would often overestimate the ideal values for ε and τ to avoid a costly re-computation of normal estimate ...
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Rapid clustering from colorized 3D point cloud data for reconstructing building interiors
... roberto.canas@nrc.gc.ca Abstract - Range scanning of building interiors generates very large, partially spurious and unstructured point cloud data. Accurate information extraction from such data sets is a ...
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3D Point Cloud Semantic Modelling: Integrated Framework for Indoor Spaces and Furniture
... Fast Point Feature Histograms ...photogrammetric point cloud of construction sites using mostly point repartitions in specific reference ...
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Semantic enrichment of point cloud by automatic extraction and enhancement of 360° panoramas
... of point clouds is an important challenge for their direct exploitation in architecture, engineering and construction ...of point clouds makes it difficult to directly and automatically classify datasets ...
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3D Point Cloud Analysis for Detection and Characterization of Defects on Airplane Exterior Surface
... unorganized point cloud, we first smooth noisy data by using Moving Least Squares ...every point in the input ...the point cloud into defective and non-defective regions using the local ...
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3D Plant Phenotyping: All You Need is Labelled Point Cloud Data
... 3D point cloud datasets include the expensive scanning devices, cumbersome and error prone manual annotation of large number of points, and reconstructing full 3D struc- ture of complex plants in the ...
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