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Point Cloud Deep Learning Network Based on Local Domain Multi-Level Feature
Applied Sciences, 2023 Point cloud deep learning networks have been widely applied in point cloud classification, part segmentation and semantic segmentation. However, current point cloud deep learning networks are insufficient in the local feature extraction of the point ...
Xianquan Han +4 more
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3D Point Capsule Networks [PDF]
, 2018 In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.
Birdal, Tolga +3 more
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MOVING WINDOW SEGMENTATION FRAMEWORK FOR POINT CLOUDS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Abstract. As lidar point clouds become larger streamed processing becomes more attractive. This paper presents a framework for the streamed segmentation of point clouds with the intention of segmenting unstructured point clouds in real-time. The framework is composed of two main components.
Sithole, G. (author) +1 more
openaire +4 more sources
Tassel Segmentation of Maize Point Cloud Based on Super Voxels Clustering and Local Features
智慧农业, 2021 Accurate and high-throughput maize plant phenotyping is vital for crop breeding and cultivation research. Tassel-related phenotypic parameters are important agronomic traits.
ZHU Chao +6 more
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3D point cloud video segmentation oriented to the analysis of interactions [PDF]
, 2016 Given the widespread availability of point cloud data from consumer depth sensors, 3D point cloud segmentation becomes a promising building block for high level applications such as scene understanding and interaction analysis.
Casas Pla, Josep Ramon +2 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 ...
Gelard, William +6 more
openaire +4 more sources
Nonlocal segmentation of point clouds with graphs [PDF]
2013 IEEE Global Conference on Signal and Information Processing, 2013 In this paper, we propose a nonlocal approach based on graphs to segment raw point clouds as a particular class of graph signals. Using the framework of Partial difference Equations (PdEs), we propose a transcription on graphs of recent continuous global active contours along with a minimization algorithm.
Lozes, François +3 more
openaire +2 more sources
Roof plane segmentation by combining multiple images and point clouds [PDF]
, 2010 A new method for roof plane detection using multiple aerial images and a point cloud is presented. It takes advantage of the fact that segmentation results for different views look different even if the same parameters are used for the original ...
Rottensteiner, Franz
core +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Developing a robust point cloud segmentation algorithm for individual trees from an amount of point cloud data has great significance for tracking tree changes.
Xiaoyu Hu, Dan Li
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Determination of the impact of RGB points cloud attribute quality on color-based segmentation process [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2015 The article presents the results of research on the effect that radiometric quality of point cloud RGB attributes have on color-based segmentation.
Bartłomiej Kraszewski
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