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Wenqi Lyu, Wei Ke, Hao Sheng, Xiao Ma and Huayun Zhang
In response to the challenge of handling large-scale 3D point cloud data, downsampling is a common approach, yet it often leads to the problem of feature loss. We present a dynamic downsampling algorithm for 3D point cloud maps based on an improved voxel...
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Zhenwen He, Xianzhen Liu and Chunfeng Zhang
Three-dimensional voxel models are widely applied in various fields such as 3D imaging, industrial design, and medical imaging. The advancement of 3D modeling techniques and measurement devices has made the generation of three-dimensional models more con...
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Jingxue Wang, Xiao Dong and Guangwei Liu
The accuracy of point cloud processing results is greatly dependent on the determination of the voxel size and shape during the point cloud voxelization process. Previous studies predominantly set voxel sizes based on point cloud density or the size of g...
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Szymon Chmielewski
Visual pollution (VP) is a visual landscape quality issue, and its most consistently recognized symptom is an excess of out of home advertising billboards (OOHb). However, the VP related research concerns landscape aesthetic and advertisement cultural co...
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Florent Poux and Roland Billen
Automation in point cloud data processing is central in knowledge discovery within decision-making systems. The definition of relevant features is often key for segmentation and classification, with automated workflows presenting the main challenges. In ...
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Jianming Liang and Jianhua Gong
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Hero Yudo Martono
Pág. 1 - 15
In this paper, we present a new feature descriptors which exploit voxels for 3D textured retrieval system when models vary either by geometric shape or texture or both. First, we perform pose normalisation to modify arbitrary 3D models in o...
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Ruihang Xie, Sisi Zlatanova, Jinwoo (Brian) Lee and Mitko Aleksandrov
Three-dimensional (3D) indoor models are a crucial component to simulate pedestrian evacuations realistically in indoor environments. However, existing 3D indoor models cannot fully represent realistic indoor environments to enable the simulation of 3D p...
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Fan Yang, You Li, Mingliang Che, Shihua Wang, Yingli Wang, Jiyi Zhang, Xinliang Cao and Chi Zhang
An increasing number of applications require the accurate 3D layout reconstruction of indoor environments. Various devices including laser scanners and color and depth (RGB-D) cameras can be used for this purpose and provide abundant and highly precise d...
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Yaqian Chen, Jiangfeng She, Xingong Li, Shuhua Zhang and Junzhong Tan
Cost distance is one of the fundamental functions in geographical information systems (GISs). 3D cost distance function makes the analysis of movement in 3D frictions possible. In this paper, we propose an algorithm and efficient data structures to accur...
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Oleksandr Reuta,Hadi Hab Raman,Dmitry Mozgovoy
Pág. 6 - 16
A matrix model of the representation of spatial objects for the synthesis, reconstruction, and analysis of their shape is proposed. The model is built on the basis of discrete data about the object, such as, for example, raster images or readings of spat...
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Andrew Marx, Yu-Hsi Chou, Kevin Mercy and Richard Windisch
The availability and precision of unmanned aerial systems (UAS) permit the repeated collection of very-high quality three-dimensional (3D) data to monitor high-interest areas, such as dams, urban areas, or erosion-prone coastlines. However, challenges ex...
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Lei Liu, Yong Sun, Min Ji, Huimeng Wang and Jiantao Liu
The three-dimensional (3D) geological voxel model is essential for numerical simulation and resource calculation. However, it can be challenging due to the point in polygon test in 3D voxel modeling. The commonly used Winding number algorithm requires th...
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Takumi Fujiwara and Wataru Takeuchi
The shadow fraction of the canopy is an important factor in Bidirectional Reflectance Distribution Function (BRDF) and in estimating physical quantities, such as tree height and biomass. Shadows are used as a shielding ratio for direct solar irradiance, ...
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Zongshun Wang, Ce Li, Jialin Ma, Zhiqiang Feng and Limei Xiao
In this study, we introduce a novel framework for the semantic segmentation of point clouds in autonomous driving scenarios, termed PVI-Net. This framework uniquely integrates three different data perspectives?point clouds, voxels, and distance maps?exec...
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Alessia Milano, Alex Vergara Gil, Enrico Fabrizi, Marta Cremonesi, Ivan Veronese, Salvatore Gallo, Nico Lanconelli, Riccardo Faccini and Massimiliano Pacilio
Novel treatment planning system performing Monte Carlo-based voxel dosimetry for a tailored radioembolization of liver malignancies.
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Aihua Wu, Yinjia Ding, Jingfeng Mao and Xudong Zhang
The point clouds registration is a key step in data processing for the 3D laser scanner to obtain complete information of the object surface, and there are many algorithms. In order to overcome the disadvantages of slow calculation speed and low accuracy...
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Yong Tao, Yuanlong Ji, Dongming Han, He Gao and Tianmiao Wang
Existing studies on rehabilitation robots are generally devoted to robot-assisted active rehabilitation training, which is conducive to facilitating muscle and nerve regeneration. However, human?robot interaction (HRI) requires imposing a limit on the wo...
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Johanna Jalonen, Juha Järvelä, Juho-Pekka Virtanen, Matti Vaaja, Matti Kurkela and Hannu Hyyppä
Detailed modeling of floodplain flows and associated processes requires data on mixed, heterogeneous vegetation at river reach scale, though the collection of vegetation data is typically limited in resolution or lack spatial information. This study inve...
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Tanweer Rashid, Sharmin Sultana, Mallar Chakravarty and Michel Albert Audette
This paper presents a multi-material dual ?contouring? method used to convert a digital 3D voxel-based atlas of basal ganglia to a deformable discrete multi-surface model that supports surgical navigation for an intraoperative MRI-compatible surgical rob...
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