Results 51 to 60 of about 235,860 (270)
TransPCGC: Point Cloud Geometry Compression Based on Transformers
Algorithms, 2023 Due to the often substantial size of the real-world point cloud data, efficient transmission and storage have become critical concerns. Point cloud compression plays a decisive role in addressing these challenges.
Shiyu Lu, Huamin Yang, Cheng Han
doaj +1 more source
Contextual classification of point cloud data by exploiting individual 3d neigbourhoods [PDF]
, 2015 The fully automated analysis of 3D point clouds is of great importance in photogrammetry, remote sensing and computer vision. For reliably extracting objects such as buildings, road inventory or vegetation, many approaches rely on the results of a point ...
Hinz, Stefan +5 more
core +3 more sources
Sensors, 2022 Plant point cloud segmentation is an important step in 3D plant phenotype research. Because the stems, leaves, flowers, and other organs of plants are often intertwined and small in size, this makes plant point cloud segmentation more challenging than ...
Bin Li, Chenhua Guo
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Extracting curve-skeletons from digital shapes using occluding contours [PDF]
, 2013 Curve-skeletons are compact and semantically relevant shape descriptors, able to summarize both topology and pose of a wide range of digital objects. Most of the state-of-the-art algorithms for their computation rely on the type of geometric primitives ...
LIVESU, MARCO, SCATENI, RICCARDO
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Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Advanced Engineering Materials, EarlyView.This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection [PDF]
, 2017 Pedestrian detection is an important component for safety of autonomous vehicles, as well as for traffic and street surveillance. There are extensive benchmarks on this topic and it has been shown to be a challenging problem when applied on real use-case
Ekenel, Hazım Kemal +2 more
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Advanced Engineering Materials, EarlyView.Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Yankuang ceshi, 2016 Traditional cloud point extraction methods commonly enrich elements in the viscous surfactant. However, the viscosity of the solution will adversely affect the detection signal of the plasma.
SHEN Yu +5 more
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Remote Sensing, 2023 Forest structural parameters are key indicators for forest growth assessment, and play a critical role in forest resources monitoring and ecosystem management.
Zhuangzhi Xu, Xin Shen, Lin Cao
doaj +1 more source