Results 41 to 50 of about 61,541 (298)
Recurrent Slice Networks for 3D Segmentation of Point Clouds [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Point clouds are an efficient data format for 3D data. However, existing 3D segmentation methods for point clouds either do not model local dependencies \cite{pointnet} or require added computations \cite{kd-net,pointnet2}. This work presents a novel 3D segmentation framework, RSNet\footnote{Codes are released here https://github.com/qianguih/RSNet ...
Qiangui Huang +2 more
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Evaluating the Quality of Semantic Segmented 3D Point Clouds [PDF]
Remote Sensing, 2022 Recently, 3D point clouds have become a quasi-standard for digitization. Point cloud processing remains a challenge due to the complex and unstructured nature of point clouds. Currently, most automatic point cloud segmentation methods are data-based and gain knowledge from manually segmented ground truth (GT) point clouds.
Eike Barnefske, Harald Sternberg
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SEGMENTATION OF UAV-BASED IMAGES INCORPORATING 3D POINT CLOUD INFORMATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Numerous applications related to urban scene analysis demand automatic recognition of buildings and distinct sub-elements. For example, if LiDAR data is available, only 3D information could be leveraged for the segmentation.
A. Vetrivel +3 more
doaj +1 more source
3D Point Cloud Semantic Segmentation System Based on Lightweight FPConv
IEEE Access, 2023 In this paper, we proposed a 3D point cloud semantic segmentation system based on lightweight FPConv. In 3D point cloud mapping, data is depicted in a 3D space to represent 3D imagery data. These maps are collected through direct measurements; all points
Yu-Cheng Fan +4 more
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Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model [PDF]
Computer Vision and Pattern RecognitionGeneralized few-shot 3D point cloud segmentation (GFS-PCS) adapts models to new classes with few support samples while retaining base class segmentation.
Zhaochong An +6 more
semanticscholar +1 more source
Novel Class Discovery for 3D Point Cloud Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2023 Novel class discovery (NCD) for semantic segmentation is the task of learning a model that can segment unlabelled (novel) classes using only the supervision from labelled (base) classes.
Luigi Riz +3 more
semanticscholar +1 more source
DEEP LEARNING FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Abstract. Cultural Heritage is a testimony of past human activity, and, as such, its objects exhibit great variety in their nature, size and complexity; from small artefacts and museum items to cultural landscapes, from historical building and ancient monuments to city centers and archaeological sites.
E. S. Malinverni +6 more
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IEEE Access, 2023 As a critical step in 3D scene understanding, semantic segmentation of point clouds has broad application scenarios, including intelligent driving, augmented reality, smart factories, etc.
Ansi Zhang +4 more
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Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 This paper investigates the indistinguishable points (difficult to predict label) in semantic segmentation for large-scale 3D point clouds. The indistinguishable points consist of those located in complex boundary, points with similar local textures but different categories, and points in isolate small hard areas, which largely harm the performance of ...
Mingye Xu +3 more
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Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network [PDF]
AAAI Conference on Artificial Intelligence, 2023 3D point cloud semantic segmentation aims to group all points into different semantic categories, which benefits important applications such as point cloud scene reconstruction and understanding.
Canyu Zhang +4 more
semanticscholar +1 more source