Results 11 to 20 of about 107,458 (327)
Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review
Remote Sensing, 2023 In the cultural heritage field, point clouds, as important raw data of geomatics, are not only three-dimensional (3D) spatial presentations of 3D objects but they also have the potential to gradually advance towards an intelligent data structure with ...
Su Yang, Miaole Hou, Songnian Li
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A Review of Deep Learning-Based Semantic Segmentation for Point Cloud
IEEE Access, 2019 In recent years, the popularity of depth sensors and 3D scanners has led to a rapid development of 3D point clouds. Semantic segmentation of point cloud, as a key step in understanding 3D scenes, has attracted extensive attention of researchers.
Jiaying Zhang +3 more
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Projection-Based Point Convolution for Efficient Point Cloud Segmentation [PDF]
IEEE Access, 2022 Published in IEEE Access (Early Access)
Pyunghwan Ahn +4 more
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Three-dimensional Point Cloud Model Segmentation Based on Significance and Weak Convexity [PDF]
Jisuanji gongcheng, 2018 The existing three-dimensional point cloud model segmentation algorithms cannot segment large components and small components at the same time.Aiming at this problem,in this paper,a segmentation method is proposed based on the significance and weak ...
ZHENG Lele,HAN Huiyan,HAN Xie
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Splitting and Merging Based Multi-model Fitting for Point Cloud Segmentation [PDF]
Journal of Geodesy and Geoinformation Science, 2019 This paper deals with the massive point cloud segmentation processing technology on the basis of machine vision, which is the second essential factor for the intelligent data processing of three dimensional conformation in digital photogrammetry. In this
Liangpei ZHANG,Yun ZHANG,Zhenzhong CHEN,Peipei XIAO,Bin LUO
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Robust Point Cloud Segmentation With Noisy Annotations
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 To Appear at TPAMI 2022.
Shuquan Ye +3 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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Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds [PDF]
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 Unsupervised over-segmentation of an image into regions of perceptually similar pixels, known as super pixels, is a widely used preprocessing step in segmentation algorithms. Super pixel methods reduce the number of regions that must be considered later by more computationally expensive algorithms, with a minimal loss of information.
Papon J. +3 more
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Measurement: Sensors, 2021 In order to accurately extract the effective area of microhardness indentation obtained by laser scanning confocal microscope, the indentation point cloud segmentation method is studied based on over-segmentation using voxel cloud connectivity ...
Shi Wei +3 more
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Frontiers in Plant Science, 2023 The 3D point cloud data are used to analyze plant morphological structure. Organ segmentation of a single plant can be directly used to determine the accuracy and reliability of organ-level phenotypic estimation in a point-cloud study.
Dabao Wang +8 more
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