Deep learning-based semantic segmentation of three-dimensional point cloud: a comprehensive review

Point cloud has emerged as the most popular three-dimensional (3D) data format in recent years for several scientific and industrial applications. Point cloud semantic segmentation has piqued the researcher's interest, which is a crucial stage in 3D analysis and scene comprehension. Deep learni...

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Vydané v:	International journal of remote sensing Ročník 45; číslo 2; s. 532 - 586
Hlavní autori:	Singh, Dheerendra Pratap, Yadav, Manohar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Taylor & Francis 17.01.2024 Taylor & Francis Ltd
Predmet:	Adaptability Analysis Availability Cloud computing Context data collection Deep learning Image segmentation Industrial applications LiDAR Object recognition Point cloud researchers Semantic segmentation Semantics Three dimensional models
ISSN:	0143-1161, 1366-5901, 1366-5901
On-line prístup:	Získať plný text
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