Results 61 to 70 of about 6,545,527 (327)
Applied Sciences, 2022 In this study, the effect of the hydrophilic–lipophilic balance (HLB) number and cloud point (CP) of a secondary-alcohol ethoxylated nonionic surfactant on degreasing efficiency was investigated.
Su-Byung Jeon +3 more
doaj +1 more source
NICP: Dense normal based point cloud registration [PDF]
, 2015 In this paper we present a novel on-line method to recursively align point clouds. By considering each point together with the local features of the surface (normal and curvature), our method takes advantage of the 3D structure around the points for the ...
Grisetti, Giorgio, Serafin, Jacopo
core +1 more source
Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis [PDF]
IEEE transactions on intelligent transportation systems (Print), 2022 Point cloud completion is a generation and estimation issue derived from the partial point clouds, which plays a vital role in the applications of 3D computer vision.
Ben Fei +7 more
semanticscholar +1 more source
Revista Facultad de Ingeniería Universidad de Antioquia, 2015 In this study, the influence of NaCl on the cloud point of polyethoxylate surfactants from the family of lauryl alcohol polyethoxylates (C12EOn ) and nonylphenol polyethoxylates (NPEOn ) was investigated.
Alessandro Alisson de Lemos-Araújo +3 more
doaj +1 more source
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering [PDF]
arXiv, 2021 Point clouds obtained from 3D sensors are usually sparse. Existing methods mainly focus on upsampling sparse point clouds in a supervised manner by using dense ground truth point clouds. In this paper, we propose a self-supervised point cloud upsampling network (SSPU-Net) to generate dense point clouds without using ground truth.
arxiv
PF-Net: Point Fractal Network for 3D Point Cloud Completion [PDF]
Computer Vision and Pattern Recognition, 2020 In this paper, we propose a Point Fractal Network (PF-Net), a novel learning-based approach for precise and high-fidelity point cloud completion. Unlike existing point cloud completion networks, which generate the overall shape of the point cloud from ...
Zitian Huang +4 more
semanticscholar +1 more source
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences [PDF]
International Conference on Learning Representations, 2022 Point cloud sequences are irregular and unordered in the spatial dimension while exhibiting regularities and order in the temporal dimension. Therefore, existing grid based convolutions for conventional video processing cannot be directly applied to ...
Hehe Fan +4 more
semanticscholar +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
TEASER: Fast and Certifiable Point Cloud Registration [PDF]
IEEE Transactions on robotics, 2020 We propose the first fast and certifiable algorithm for the registration of two sets of three-dimensional (3-D) points in the presence of large amounts of outlier correspondences.
Heng Yang, J. Shi, L. Carlone
semanticscholar +1 more source