Results 21 to 30 of about 5,839,842 (237)
A TWO-STAGE APPROACH FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Although deep learning has greatly improved the semantic segmentation accuracy of point clouds, the segmentation of rare classes in large-scale urban scenes has not been targeted in available methods.
X. Zhang, R. Xue, R. Xue, U. Soergel
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A benchmark for large-scale heritage point cloud semantic segmentation [PDF]
, 2020 The lack of benchmarking data for the semantic segmentation of digital heritage scenarios is hampering the development of automatic classification solutions in this field.
Pierdicca, Roberto +26 more
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Active and incremental learning for semantic ALS point cloud segmentation
, 2020 Supervised training of a deep neural network for semantic segmentation of point clouds requires a large amount of labelled data. Nowadays, it is easy to acquire a huge number of points with high density in large-scale areas using current LiDAR and ...
Lin, YAPING (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)
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ISPRS Open Journal of Photogrammetry and Remote Sensing, 2022 Deep learning methods based on convolutional neural networks have shown to give excellent results in semantic segmentation of images, but the inherent irregularity of point cloud data complicates their usage in semantically segmenting 3D laser scanning ...
Risto Kaijaluoto +4 more
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SEMANTIC SEGMENTATION FOR BUILDING FAÇADE 3D POINT CLOUD FROM 2D ORTHOPHOTO IMAGES USING TRANSFER LEARNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 The task of semantic segmentation is an important one in the context of 3D building modelling. Indeed, developments in 3D generation techniques have rendered the point cloud ubiquitous.
A. Murtiyoso +4 more
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4D point cloud semantic segmentation
, 2023 3D point cloud semantic segmentation is a fundamental scene understanding task. Typical 3D point cloud semantic segmentation approaches analyze the 3D information of LiDAR point clouds and predict the classes of every point in the point cloud scenes ...
Shi, Hanyu
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Sparse point‐voxel aggregation network for efficient point cloud semantic segmentation
IET Computer Vision, 2022 Effective and efficient semantic segmentation of 3D point cloud data is important for many tasks. Many methods for point cloud semantic segmentation rely on computationally expensive sampling and grouping layers to process irregular points, while others ...
Zheng Fang, Binyu Xiong, Fei Liu
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Deep FusionNet for point cloud semantic segmentation [PDF]
, 2020 Many point cloud segmentation methods rely on transferring irregular points into a voxel-based regular representation. Although voxel-based convolutions are useful for feature aggregation, they produce ambiguous or wrong predictions if a voxel contains ...
Benjamin Wah +7 more
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Remote Sensing, 2022 Accurate semantic segmentation results of the overhead catenary system (OCS) are significant for OCS component extraction and geometric parameter detection.
Tao Xu +5 more
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PointAF: A Novel Semantic Segmentation Network for Point Cloud
, 2023 Point cloud semantic segmentation is a crucial problem in computer vision, which aims to assign semantic labels to each point in a point cloud. However, the sparsity and irregularity of point cloud data pose significant challenges to achieving accurate ...
Chen, Tianze +4 more
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