Results 11 to 20 of about 45,895 (267)
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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Panicle-3D: Efficient Phenotyping Tool for Precise Semantic Segmentation of Rice Panicle Point Cloud
Plant Phenomics, 2021 The automated measurement of crop phenotypic parameters is of great significance to the quantitative study of crop growth. The segmentation and classification of crop point cloud help to realize the automation of crop phenotypic parameter measurement. At
Liang Gong +7 more
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Geometric 3D point cloud compression [PDF]
Pattern Recognition Letters, 2014 This work has been supported by the Spanish Government DPI2013-40534-R grant.
Vicente Morell +3 more
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Transformers in 3D Point Clouds: A Survey
CoRR, 2022 Transformers have been at the heart of the Natural Language Processing (NLP) and Computer Vision (CV) revolutions. The significant success in NLP and CV inspired exploring the use of Transformers in point cloud processing. However, how do Transformers cope with the irregularity and unordered nature of point clouds?
Lu, Dening +5 more
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Research on Deformation Monitoring of Invert Uplifts in Soft Rock Tunnels Based on 3D Laser Scanning
Applied Sciences, 2023 The soft surrounding rock in tunnels has the characteristics of low strength, easy softening after soaking, and poor self-stability, which makes the inverted arch structure in soft rock tunnels prone to uplift deformations.
Enchao Zhang, Pengtao Niu, Jianfei Liu
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Learning Multiview 3D Point Cloud Registration [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 CVPR2020 - Camera ...
Zan Gojcic +4 more
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Leaves Segmentation in 3D Point Cloud [PDF]
, 2017 This paper presents a 3D plant segmentation method with an emphasis on segmentation of the leaves. This method is part of a 3D plant phenotyping project with a main objective that deals with the development of the leaf area over time. First, a 3D point cloud of a plant is obtained with Structure from Motion technique and the cloud is then segmented ...
Gélard, William +6 more
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Generating 3D Adversarial Point Clouds [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Deep neural networks are known to be vulnerable to adversarial examples which are carefully crafted instances to cause the models to make wrong predictions. While adversarial examples for 2D images and CNNs have been extensively studied, less attention has been paid to 3D data such as point clouds.
Chong Xiang 0001 +2 more
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3D Point Cloud Simplification Based on k-Nearest Neighbor and Clustering
Advances in Multimedia, 2020 While the reconstruction of 3D objects is increasingly used today, the simplification of 3D point cloud, however, becomes a substantial phase in this process of reconstruction.
Abdelaaziz Mahdaoui, El Hassan Sbai
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Quality Judgment of 3D Face Point Cloud Based on Feature Fusion
IEEE Access, 2022 With the rapid development of face recognition, the 3D face has gradually become the mainstream, 3D face point cloud quality judgment was an important process.
Gong Gao, Hong Liu, Hongyu Yang
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