Results 71 to 80 of about 5,609,782 (360)
Virtual Namesake Point Multi-Source Point Cloud Data Fusion Based on FPFH Feature Difference
Sensors, 2021 There are many sources of point cloud data, such as the point cloud model obtained after a bundle adjustment of aerial images, the point cloud acquired by scanning a vehicle-borne light detection and ranging (LiDAR), the point cloud acquired by ...
Li Zheng, Zhukun Li
doaj +1 more source
Revista Facultad de Ingeniería Universidad de Antioquia, 2014 Palm oil biodiesel (POB) has excellent properties as a fuel for engines. However, due to its highly saturated chemical composition, this biofuel presents a faulty performance at temperatures close to the environmental temperature of several Colombian ...
Alirio Yovany Benavides +2 more
doaj +1 more source
Remote Sensing, 2021 Point cloud classification is a key technology for point cloud applications and point cloud feature extraction is a key step towards achieving point cloud classification.
Yong Li +5 more
doaj +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
Modeling of the optimal component composition of biodiesel fuel
Аграрная наука Евро-Северо-Востока, 2020 The article presents the results of study to determine the component composition of rape-based biodiesel. Modeling of the optimal component composition taking into account low-temperature properties and cetane number was carried out.
D. V. Varnakov +2 more
doaj +1 more source
Point Cloud Audio Processing [PDF]
2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021 Most audio processing pipelines involve transformations that act on fixed-dimensional input representations of audio. For example, when using the Short Time Fourier Transform (STFT) the DFT size specifies a fixed dimension for the input representation. As a consequence, most audio machine learning models are designed to process fixed-size vector inputs
Subramani, Krishna, Smaragdis, Paris
openaire +2 more sources
RE-PU: A Self-Supervised Arbitrary-Scale Point Cloud Upsampling Method Based on Reconstruction
Applied SciencesThe point clouds obtained directly from three-dimensional scanning devices are often sparse and noisy. Therefore, point cloud upsampling plays an increasingly crucial role in fields such as point cloud reconstruction and rendering.
Yazhen Han +3 more
doaj +1 more source
Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review
Remote Sensing, 2023 In the cultural heritage field, point clouds, as important raw data of geomatics, are not only three-dimensional (3D) spatial presentations of 3D objects but they also have the potential to gradually advance towards an intelligent data structure with ...
Su Yang, M. Hou, Songnian Li
semanticscholar +1 more source
Experimental Study of Thermal Properties and Dynamic Viscosity of Graphene Oxide/Oil Nano-Lubricant
Energies, 2021 This experimental study was carried out based on the nanotechnology approach to enhance the efficacy of engine oil. Atomic and surface structures of graphene oxide (GO) nanoparticles were investigated by using a field emission scanning electron ...
Ramin Ranjbarzadeh, Raoudha Chaabane
doaj +1 more source
DENOISING OF 3D POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Abstract. A method to remove random errors from 3D point clouds is proposed. It is based on the estimation of a local geometric descriptor of each point. For mobile mapping LiDAR and airborne LiDAR, a combined standard mesurement uncertainty of the LiDAR system may supplement a geometric approach.
E. Mugner, N. Seube
openaire +4 more sources