Point clouds
Reasoning From Point Clouds
... the point cloud data obtained from the Carla simulator didn't correlate to the real driving data in scenes from the Waymo Open ...on point clouds, or different ...
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Detection of Ground in Point-clouds Generated from Stereo-pair Images
... This paper proposes a new approach for constructing digital terrain models (DTM) from the point-clouds generated from airborne stereo-pair images. The method uses data decomposition based on the ...
5
Consistent Density Scanning and Information Extraction From Point Clouds of Building Interiors
... scanner captures the surrounding data from nearest surfaces while sitting on the back of a moving person. This back pack scanner is focused mainly on visualization applications, where the simplified geometry is ...
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Deep Learning-Based Damage Detection from Aerial SfM Point Clouds
... 3D point clouds providing accurate geometric information in comparison to ...each point with respect to its neighboring vertices can be used as features to distinguish and analyze the desired object ...
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Classifying 3D objects in LiDAR point clouds with a back-propagation neural network
... Next, the point clouds were split into groups representing individual objects for cat- egorization. One method of extracting the objects’ characteristics involves analyz- ing the outlines, edges, and ...
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Building Model Reconstruction from Point Clouds Derived from Oblique Imagery
... Oblique imagery is a type of aerial photography that is captured at a non-vertical angle with respect to the ground. Apart from orthographic imagery which mostly captures information from a nadir view, oblique imagery ...
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Indoor navigation from point clouds: 3D modelling and obstacle detection
... from point clouds (Haala and Kada, 2010; Volk et al, 2014; Patraucean et al, ...considering point clouds not only for reconstructing semantically-rich 3D indoor models, but also for detecting ...
7
Graph based segmentation and scene understanding for context free point clouds
... raw point cloud ...a point cloud consists of a discrete surface definition, multiple plausible continuous surface definitions may exist as in Figure ...resultant point clouds are often noisy ...
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High precision registration of point clouds based on sphere feature constraints
... Point clouds registration is that the point cloud of each view is transformed into a same common coordinate ...the point clouds ...registered point clouds, but the ...
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Automated Extraction of Driving Lines from Mobile Laser Scanning Point Clouds
... The generated driving lines are overlapped with the raw MLS point clouds in ArcGIS Desktop to evaluate the performance of driving line generation method. Fig. 5(d) presents the generated driving lines. ...
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Estimation of gait normality index based on point clouds through deep auto-encoder
... A point cloud representing the subject can thus be easily formed as a combination of 3 collections of reprojected points (from 2D to 3D) including (a) the real cloud in the middle and (b) reflections (through ...
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Conformal Alpha Shape-based Multi-scale Curvature Estimation from Point Clouds
... There has been substantial work in estimating discrete surface curvature. A flexible disk around a given triangle is used as a geodesic neighborhood of the face for approximating principal curvatures [21]. Statistical ...
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Rockfall detection from terrestrial LiDAR point clouds: A clustering approach using R
... reference point cloud, was acquired on September 2011 and the second one, referred hereinafter as the target point cloud, was acquired on March 2012 ...target point clouds led to a final ...
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Automated extraction of corn leaf points from unorganized terrestrial LiDAR point clouds
... Compared with the extraction of points returned on buildings, man-made models etc., the corn leaf points extraction is difficult because the corn leaves are thin and curled. This study is aiming at extracting corn leaf ...
5
Towards 3D Matching of Point Clouds Derived from Oblique and Nadir Airborne Imagery
... the point cloud generated is unknown, the result is only compared to that obtained from manually ...3D point cloud reconstruction and matching method applied to the oblique and nadir imagery in this thesis ...
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Solving the point-plane problem for the class of affine transformations and development of a fast iterative algorithm for registering of 3D point clouds
... 13. Tam G., Cheng Z.-Q., Lai Y.-K., Langbein F., Liu Y., Marshall D., Martin R., Sun X.-F. and Rosin P. “Registration of 3D point clouds and meshes: A survey from rigid to nonrigid”. IEEE Trans. Vis. ...
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A Novel Interactive Fusion Method with Images and Point Clouds for 3D Object Detection
... We evaluate our fusion algorithm in KITTI by 3D object detection with images and point clouds basing on AVOD [12]. Different from existing fusion algorithms, our fusion algorithms combine linear model and ...
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Geospatial Analytics for Point Clouds in an Open Science Framework.
... points. Point clouds from different sources vary in their properties such as number of returns, density, or ...points clouds obtained by a lidar scanner, structure from motion technique (SfM), and a ...
147
Feature Estimation and Registration of Point Clouds in Reverse Engineering
... same point in the plane coordinate system, so to get a set of 2D point clouds ...the point cloud with the B-Spilne curve to get the contour ...
5
Applied Computational Topology for Point Clouds and Sparse Timeseries Data
... a point cloud over a range of ...a point cloud (potentially given in a very high-dimensional ambient space) as a simplicial complex, and the theoretical work of Munch and Wang [19], which formalizes mapper ...
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