Results 11 to 20 of about 105,450 (329)
DRINet++: Efficient Voxel-as-point Point Cloud Segmentation [PDF]
, 2021 Recently, many approaches have been proposed through single or multiple representations to improve the performance of point cloud semantic segmentation. However, these works do not maintain a good balance among performance, efficiency, and memory consumption. To address these issues, we propose DRINet++ that extends DRINet by enhancing the sparsity and
Maosheng Ye +4 more
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Instance Segmentation of LiDAR Point Clouds [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 We propose a robust baseline method for instance segmentation which are specially designed for large-scale outdoor LiDAR point clouds. Our method includes a novel dense feature encoding technique, allowing the localization and segmentation of small, far-away objects, a simple but effective solution for single-shot instance prediction and effective ...
Zhang, F +6 more
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Deep Segmentation of Point Clouds of Wheat [PDF]
Frontiers in Plant Science, 2021 The 3D analysis of plants has become increasingly effective in modeling the relative structure of organs and other traits of interest. In this paper, we introduce a novel pattern-based deep neural network, Pattern-Net, for segmentation of point clouds of wheat.
Morteza Ghahremani +6 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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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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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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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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