Results 31 to 40 of about 1,041,889 (332)
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
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2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 In this paper we address the task of finding representative subsets of points in a 3D point cloud by means of a point-wise ordering. Only a few works have tried to address this challenging vision problem, all with the help of hard to obtain point and cloud labels.
Yang, P., Snoek, C.G.M., Asano, Y.M.
openaire +4 more sources
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
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
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
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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
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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
A Novel Method for Density Analysis of Repaired Point Cloud with Holes Based on Image Data
Remote Sensing, 2021 Repairing point cloud holes has become an important problem in the research of 3D laser point cloud data, which ensures the integrity and improves the precision of point cloud data.
Yibo He, Zhenqi Hu, Kan Wu, Rui Wang
doaj +1 more source
, 2019 We present RL-GAN-Net, where a reinforcement learning (RL) agent provides fast and robust control of a generative adversarial network (GAN). Our framework is applied to point cloud shape completion that converts noisy, partial point cloud data into a ...
Kim, Young Min +2 more
core +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