Results 51 to 60 of about 6,559,013 (333)
Two-point correlation properties of stochastic "cloud processes'' [PDF]
, 2007 We study how the two-point density correlation properties of a point particle distribution are modified when each particle is divided, by a stochastic process, into an equal number of identical "daughter" particles. We consider generically that there may
A. Gabrielli +10 more
core +3 more sources
VIPDA: A Visually Driven Point Cloud Denoising Algorithm Based on Anisotropic Point Cloud Filtering
Frontiers in Signal Processing, 2022 Point clouds (PCs) provide fundamental tools for digital representation of 3D surfaces, which have a growing interest in recent applications, such as e-health or autonomous means of transport.
Tiziana Cattai +3 more
doaj +1 more source
Repairing triangle meshes built from scanned point cloud [PDF]
, 2007 The Reverse Engineering process consists of a succession of operations that aim at creating a digital representation of a physical model. The reconstructed geometric model is often a triangle mesh built from a point cloud acquired with a scanner ...
MORARU, George +2 more
core +5 more sources
New instruments and technologies for Cultural Heritage survey: full integration between point clouds and digital photogrammetry [PDF]
, 2010 In the last years the Geomatic Research Group of the Politecnico di Torino faced some new research topics about new instruments for point cloud generation (e.g. Time of Flight cameras) and strong integration between multi-image matching techniques and 3D
Chiabrando, Filiberto +3 more
core +1 more source
Score-Based Point Cloud Denoising [PDF]
IEEE International Conference on Computer Vision, 2021 Point clouds acquired from scanning devices are often perturbed by noise, which affects downstream tasks such as surface reconstruction and analysis. The distribution of a noisy point cloud can be viewed as the distribution of a set of noise-free samples
Shitong Luo, Wei Hu
semanticscholar +1 more source
Remote Sensing, 2020 Because of low accuracy and density of crop point clouds obtained by the Unmanned Aerial Vehicle (UAV)-borne Light Detection and Ranging (LiDAR) scanning system of UAV, an integrated navigation and positioning optimization method based on the grasshopper
Jian Chen +4 more
doaj +1 more source
Classification of ALS Point Cloud with Improved Point Cloud Segmentation and Random Forests
Remote Sensing, 2017 This paper presents an automated and effective framework for classifying airborne laser scanning (ALS) point clouds. The framework is composed of four stages: (i) step-wise point cloud segmentation, (ii) feature extraction, (iii) Random Forests (RF ...
Huan Ni, Xiangguo Lin, Jixian Zhang
doaj +1 more source
3D point cloud video segmentation oriented to the analysis of interactions [PDF]
, 2016 Given the widespread availability of point cloud data from consumer depth sensors, 3D point cloud segmentation becomes a promising building block for high level applications such as scene understanding and interaction analysis.
Casas Pla, Josep Ramon +2 more
core +1 more source
Fused Projection-Based Point Cloud Segmentation
Sensors, 2022 Semantic segmentation is used to enable a computer to understand its surrounding environment. In image processing, images are partitioned into segments for this purpose.
Maximilian Kellner +2 more
doaj +1 more source
3D environment mapping using the Kinect V2 and path planning based on RRT algorithms [PDF]
, 2016 This paper describes a 3D path planning system that is able to provide a solution trajectory for the automatic control of a robot. The proposed system uses a point cloud obtained from the robot workspace, with a Kinect V2 sensor to identify the interest ...
Aguilar Castillo, Wilbert Geovanny +1 more
core +3 more sources